Overview

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Dataset statistics

Number of variables200
Number of observations444786
Missing cells63893
Missing cells (%)0.1%
Total size in memory678.7 MiB
Average record size in memory1.6 KiB

Variable types

Numeric190
Text10

Alerts

NU_ANO_CENSO has constant value "2021"Constant
QT_VG_PROC_SELETIVO has constant value "0"Constant
QT_INSC_PROC_SELETIVO has constant value "0"Constant
QT_ING_OUTRO_TIPO_SELECAO has constant value "0"Constant
QT_ING_PROC_SELETIVO has constant value "0"Constant
NO_REGIAO has 7948 (1.8%) missing valuesMissing
CO_REGIAO has 7948 (1.8%) missing valuesMissing
NO_UF has 7948 (1.8%) missing valuesMissing
SG_UF has 7948 (1.8%) missing valuesMissing
CO_UF has 7948 (1.8%) missing valuesMissing
NO_MUNICIPIO has 7948 (1.8%) missing valuesMissing
CO_MUNICIPIO has 7948 (1.8%) missing valuesMissing
IN_CAPITAL has 7948 (1.8%) missing valuesMissing
TP_NIVEL_ACADEMICO is highly skewed (γ1 = 161.7438062)Skewed
QT_VG_TOTAL is highly skewed (γ1 = 60.49939647)Skewed
QT_VG_TOTAL_DIURNO is highly skewed (γ1 = 54.5754058)Skewed
QT_VG_TOTAL_NOTURNO is highly skewed (γ1 = 21.00640533)Skewed
QT_VG_TOTAL_EAD is highly skewed (γ1 = 61.10274672)Skewed
QT_VG_NOVA is highly skewed (γ1 = 70.16723569)Skewed
QT_VG_REMANESC is highly skewed (γ1 = 100.270263)Skewed
QT_VG_PROG_ESPECIAL is highly skewed (γ1 = 154.0837932)Skewed
QT_INSCRITO_TOTAL is highly skewed (γ1 = 176.916102)Skewed
QT_INSCRITO_TOTAL_DIURNO is highly skewed (γ1 = 79.60989153)Skewed
QT_INSCRITO_TOTAL_NOTURNO is highly skewed (γ1 = 21.65653033)Skewed
QT_INSCRITO_TOTAL_EAD is highly skewed (γ1 = 204.5218496)Skewed
QT_INSC_VG_NOVA is highly skewed (γ1 = 193.8654)Skewed
QT_INSC_VG_REMANESC is highly skewed (γ1 = 86.19711338)Skewed
QT_INSC_VG_PROG_ESPECIAL is highly skewed (γ1 = 161.8398675)Skewed
QT_ING is highly skewed (γ1 = 25.78523955)Skewed
QT_ING_FEM is highly skewed (γ1 = 35.90473562)Skewed
QT_ING_MASC is highly skewed (γ1 = 23.50758857)Skewed
QT_ING_VG_NOVA is highly skewed (γ1 = 24.43621769)Skewed
QT_ING_VESTIBULAR is highly skewed (γ1 = 30.78424923)Skewed
QT_ING_AVALIACAO_SERIADA is highly skewed (γ1 = 138.9216869)Skewed
QT_ING_SELECAO_SIMPLIFICA is highly skewed (γ1 = 85.11343931)Skewed
QT_ING_EGR is highly skewed (γ1 = 160.1934947)Skewed
QT_ING_VG_REMANESC is highly skewed (γ1 = 56.04882303)Skewed
QT_ING_VG_PROG_ESPECIAL is highly skewed (γ1 = 99.97705573)Skewed
QT_ING_OUTRA_FORMA is highly skewed (γ1 = 105.6719333)Skewed
QT_ING_0_17 is highly skewed (γ1 = 36.92989402)Skewed
QT_ING_25_29 is highly skewed (γ1 = 31.43916061)Skewed
QT_ING_30_34 is highly skewed (γ1 = 34.83519368)Skewed
QT_ING_35_39 is highly skewed (γ1 = 37.59105428)Skewed
QT_ING_40_49 is highly skewed (γ1 = 39.16305734)Skewed
QT_ING_50_59 is highly skewed (γ1 = 35.60379489)Skewed
QT_ING_60_MAIS is highly skewed (γ1 = 27.62917249)Skewed
QT_ING_PRETA is highly skewed (γ1 = 36.66010603)Skewed
QT_ING_PARDA is highly skewed (γ1 = 25.36338767)Skewed
QT_ING_AMARELA is highly skewed (γ1 = 33.69654591)Skewed
QT_ING_INDIGENA is highly skewed (γ1 = 74.82258073)Skewed
QT_ING_CORND is highly skewed (γ1 = 37.75409483)Skewed
QT_MAT_FEM is highly skewed (γ1 = 24.791549)Skewed
QT_MAT_MASC is highly skewed (γ1 = 20.1499141)Skewed
QT_MAT_0_17 is highly skewed (γ1 = 39.53746917)Skewed
QT_MAT_25_29 is highly skewed (γ1 = 21.10368092)Skewed
QT_MAT_30_34 is highly skewed (γ1 = 35.08495129)Skewed
QT_MAT_35_39 is highly skewed (γ1 = 41.86257387)Skewed
QT_MAT_40_49 is highly skewed (γ1 = 47.28808017)Skewed
QT_MAT_50_59 is highly skewed (γ1 = 49.73568762)Skewed
QT_MAT_60_MAIS is highly skewed (γ1 = 34.26565241)Skewed
QT_MAT_BRANCA is highly skewed (γ1 = 22.74038361)Skewed
QT_MAT_PRETA is highly skewed (γ1 = 23.93391577)Skewed
QT_MAT_AMARELA is highly skewed (γ1 = 61.25266148)Skewed
QT_MAT_INDIGENA is highly skewed (γ1 = 83.47043558)Skewed
QT_MAT_CORND is highly skewed (γ1 = 26.00636441)Skewed
QT_CONC is highly skewed (γ1 = 28.1674382)Skewed
QT_CONC_FEM is highly skewed (γ1 = 41.64531516)Skewed
QT_CONC_MASC is highly skewed (γ1 = 20.43360835)Skewed
QT_CONC_DIURNO is highly skewed (γ1 = 25.27009011)Skewed
QT_CONC_0_17 is highly skewed (γ1 = 333.4580183)Skewed
QT_CONC_18_24 is highly skewed (γ1 = 23.55445618)Skewed
QT_CONC_25_29 is highly skewed (γ1 = 20.79594688)Skewed
QT_CONC_30_34 is highly skewed (γ1 = 54.2221978)Skewed
QT_CONC_35_39 is highly skewed (γ1 = 64.19537261)Skewed
QT_CONC_40_49 is highly skewed (γ1 = 64.21630508)Skewed
QT_CONC_50_59 is highly skewed (γ1 = 46.48965942)Skewed
QT_CONC_60_MAIS is highly skewed (γ1 = 24.11716041)Skewed
QT_CONC_BRANCA is highly skewed (γ1 = 31.3313877)Skewed
QT_CONC_PRETA is highly skewed (γ1 = 32.04952133)Skewed
QT_CONC_PARDA is highly skewed (γ1 = 30.69963167)Skewed
QT_CONC_AMARELA is highly skewed (γ1 = 106.37095)Skewed
QT_CONC_INDIGENA is highly skewed (γ1 = 112.7644878)Skewed
QT_CONC_CORND is highly skewed (γ1 = 28.27660995)Skewed
QT_ING_NACBRAS is highly skewed (γ1 = 25.80908985)Skewed
QT_ING_NACESTRANG is highly skewed (γ1 = 102.1689202)Skewed
QT_MAT_NACESTRANG is highly skewed (γ1 = 105.2677805)Skewed
QT_CONC_NACBRAS is highly skewed (γ1 = 28.16788119)Skewed
QT_CONC_NACESTRANG is highly skewed (γ1 = 107.4874964)Skewed
QT_ALUNO_DEFICIENTE is highly skewed (γ1 = 54.60796131)Skewed
QT_ING_DEFICIENTE is highly skewed (γ1 = 39.46051424)Skewed
QT_MAT_DEFICIENTE is highly skewed (γ1 = 60.39016119)Skewed
QT_CONC_DEFICIENTE is highly skewed (γ1 = 60.39501564)Skewed
QT_ING_FINANC is highly skewed (γ1 = 45.03647973)Skewed
QT_ING_FINANC_REEMB is highly skewed (γ1 = 56.74706453)Skewed
QT_ING_FIES is highly skewed (γ1 = 60.69544314)Skewed
QT_ING_RPFIES is highly skewed (γ1 = 114.9898231)Skewed
QT_ING_FINANC_REEMB_OUTROS is highly skewed (γ1 = 139.957072)Skewed
QT_ING_FINANC_NREEMB is highly skewed (γ1 = 45.9944538)Skewed
QT_ING_PROUNII is highly skewed (γ1 = 24.35762857)Skewed
QT_ING_PROUNIP is highly skewed (γ1 = 53.25610597)Skewed
QT_ING_NRPFIES is highly skewed (γ1 = 47.60747078)Skewed
QT_ING_FINANC_NREEMB_OUTROS is highly skewed (γ1 = 94.97574609)Skewed
QT_MAT_FINANC is highly skewed (γ1 = 32.85971718)Skewed
QT_MAT_FINANC_REEMB is highly skewed (γ1 = 37.35961433)Skewed
QT_MAT_FIES is highly skewed (γ1 = 50.6214638)Skewed
QT_MAT_RPFIES is highly skewed (γ1 = 66.87027496)Skewed
QT_MAT_FINANC_REEMB_OUTROS is highly skewed (γ1 = 77.36672759)Skewed
QT_MAT_FINANC_NREEMB is highly skewed (γ1 = 36.90280623)Skewed
QT_MAT_PROUNIP is highly skewed (γ1 = 97.03756272)Skewed
QT_MAT_NRPFIES is highly skewed (γ1 = 42.0784574)Skewed
QT_MAT_FINANC_NREEMB_OUTROS is highly skewed (γ1 = 71.11025606)Skewed
QT_CONC_FINANC is highly skewed (γ1 = 30.63173665)Skewed
QT_CONC_FINANC_REEMB is highly skewed (γ1 = 28.23664989)Skewed
QT_CONC_FIES is highly skewed (γ1 = 31.66759606)Skewed
QT_CONC_RPFIES is highly skewed (γ1 = 73.86038484)Skewed
QT_CONC_FINANC_REEMB_OUTROS is highly skewed (γ1 = 92.85152891)Skewed
QT_CONC_FINANC_NREEMB is highly skewed (γ1 = 35.4889794)Skewed
QT_CONC_PROUNII is highly skewed (γ1 = 22.87915928)Skewed
QT_CONC_PROUNIP is highly skewed (γ1 = 73.59955482)Skewed
QT_CONC_NRPFIES is highly skewed (γ1 = 43.37970066)Skewed
QT_CONC_FINANC_NREEMB_OUTROS is highly skewed (γ1 = 60.06583273)Skewed
QT_ING_RESERVA_VAGA is highly skewed (γ1 = 31.11957914)Skewed
QT_ING_RVREDEPUBLICA is highly skewed (γ1 = 32.89844059)Skewed
QT_ING_RVETNICO is highly skewed (γ1 = 28.75841902)Skewed
QT_ING_RVPDEF is highly skewed (γ1 = 65.77786158)Skewed
QT_ING_RVSOCIAL_RF is highly skewed (γ1 = 36.25176941)Skewed
QT_ING_RVOUTROS is highly skewed (γ1 = 116.6613631)Skewed
QT_MAT_RESERVA_VAGA is highly skewed (γ1 = 37.56371792)Skewed
QT_MAT_RVREDEPUBLICA is highly skewed (γ1 = 41.29637259)Skewed
QT_MAT_RVETNICO is highly skewed (γ1 = 27.27416286)Skewed
QT_MAT_RVPDEF is highly skewed (γ1 = 78.30907238)Skewed
QT_MAT_RVSOCIAL_RF is highly skewed (γ1 = 46.86647298)Skewed
QT_MAT_RVOUTROS is highly skewed (γ1 = 117.2177633)Skewed
QT_CONC_RESERVA_VAGA is highly skewed (γ1 = 37.54289416)Skewed
QT_CONC_RVREDEPUBLICA is highly skewed (γ1 = 42.54427122)Skewed
QT_CONC_RVETNICO is highly skewed (γ1 = 30.18897096)Skewed
QT_CONC_RVPDEF is highly skewed (γ1 = 83.79640391)Skewed
QT_CONC_RVSOCIAL_RF is highly skewed (γ1 = 38.66161782)Skewed
QT_CONC_RVOUTROS is highly skewed (γ1 = 140.265983)Skewed
QT_SIT_TRANCADA is highly skewed (γ1 = 32.48054349)Skewed
QT_SIT_DESVINCULADO is highly skewed (γ1 = 23.74115397)Skewed
QT_SIT_TRANSFERIDO is highly skewed (γ1 = 122.5309807)Skewed
QT_SIT_FALECIDO is highly skewed (γ1 = 52.93807929)Skewed
QT_ING_PROCESCPUBLICA is highly skewed (γ1 = 29.18256809)Skewed
QT_ING_PROCESCPRIVADA is highly skewed (γ1 = 34.21041154)Skewed
QT_ING_PROCNAOINFORMADA is highly skewed (γ1 = 266.6135931)Skewed
QT_MAT_PROCESCPUBLICA is highly skewed (γ1 = 20.56188005)Skewed
QT_MAT_PROCESCPRIVADA is highly skewed (γ1 = 29.20725599)Skewed
QT_MAT_PROCNAOINFORMADA is highly skewed (γ1 = 76.1961189)Skewed
QT_CONC_PROCESCPUBLICA is highly skewed (γ1 = 31.30688958)Skewed
QT_CONC_PROCESCPRIVADA is highly skewed (γ1 = 29.0410544)Skewed
QT_CONC_PROCNAOINFORMADA is highly skewed (γ1 = 55.50595566)Skewed
QT_PARFOR is highly skewed (γ1 = 129.2679961)Skewed
QT_ING_PARFOR is highly skewed (γ1 = 374.6672592)Skewed
QT_MAT_PARFOR is highly skewed (γ1 = 157.9827089)Skewed
QT_CONC_PARFOR is highly skewed (γ1 = 220.2953497)Skewed
QT_APOIO_SOCIAL is highly skewed (γ1 = 43.45316206)Skewed
QT_ING_APOIO_SOCIAL is highly skewed (γ1 = 42.74943175)Skewed
QT_MAT_APOIO_SOCIAL is highly skewed (γ1 = 44.7821851)Skewed
QT_CONC_APOIO_SOCIAL is highly skewed (γ1 = 46.99393908)Skewed
QT_ATIV_EXTRACURRICULAR is highly skewed (γ1 = 34.85968454)Skewed
QT_ING_ATIV_EXTRACURRICULAR is highly skewed (γ1 = 37.83995462)Skewed
QT_MAT_ATIV_EXTRACURRICULAR is highly skewed (γ1 = 34.63707747)Skewed
QT_CONC_ATIV_EXTRACURRICULAR is highly skewed (γ1 = 69.08938227)Skewed
QT_MOB_ACADEMICA is highly skewed (γ1 = 206.1627261)Skewed
QT_ING_MOB_ACADEMICA is highly skewed (γ1 = 245.8170817)Skewed
QT_MAT_MOB_ACADEMICA is highly skewed (γ1 = 219.2511331)Skewed
QT_CONC_MOB_ACADEMICA is highly skewed (γ1 = 300.7351657)Skewed
IN_CAPITAL has 383536 (86.2%) zerosZeros
IN_GRATUITO has 428733 (96.4%) zerosZeros
QT_CURSO has 401684 (90.3%) zerosZeros
QT_VG_TOTAL has 404267 (90.9%) zerosZeros
QT_VG_TOTAL_DIURNO has 427186 (96.0%) zerosZeros
QT_VG_TOTAL_NOTURNO has 418324 (94.1%) zerosZeros
QT_VG_TOTAL_EAD has 437573 (98.4%) zerosZeros
QT_VG_NOVA has 405387 (91.1%) zerosZeros
QT_VG_PROC_SELETIVO has 444786 (100.0%) zerosZeros
QT_VG_REMANESC has 414664 (93.2%) zerosZeros
QT_VG_PROG_ESPECIAL has 442920 (99.6%) zerosZeros
QT_INSCRITO_TOTAL has 405945 (91.3%) zerosZeros
QT_INSCRITO_TOTAL_DIURNO has 428885 (96.4%) zerosZeros
QT_INSCRITO_TOTAL_NOTURNO has 420005 (94.4%) zerosZeros
QT_INSCRITO_TOTAL_EAD has 437647 (98.4%) zerosZeros
QT_INSC_VG_NOVA has 407276 (91.6%) zerosZeros
QT_INSC_PROC_SELETIVO has 444786 (100.0%) zerosZeros
QT_INSC_VG_REMANESC has 417560 (93.9%) zerosZeros
QT_INSC_VG_PROG_ESPECIAL has 443537 (99.7%) zerosZeros
QT_ING has 100317 (22.6%) zerosZeros
QT_ING_FEM has 188518 (42.4%) zerosZeros
QT_ING_MASC has 199332 (44.8%) zerosZeros
QT_ING_DIURNO has 430738 (96.8%) zerosZeros
QT_ING_NOTURNO has 422319 (94.9%) zerosZeros
QT_ING_VG_NOVA has 119979 (27.0%) zerosZeros
QT_ING_VESTIBULAR has 145539 (32.7%) zerosZeros
QT_ING_ENEM has 355286 (79.9%) zerosZeros
QT_ING_AVALIACAO_SERIADA has 443982 (99.8%) zerosZeros
QT_ING_SELECAO_SIMPLIFICA has 382393 (86.0%) zerosZeros
QT_ING_EGR has 444652 (> 99.9%) zerosZeros
QT_ING_OUTRO_TIPO_SELECAO has 444786 (100.0%) zerosZeros
QT_ING_PROC_SELETIVO has 444786 (100.0%) zerosZeros
QT_ING_VG_REMANESC has 345445 (77.7%) zerosZeros
QT_ING_VG_PROG_ESPECIAL has 439494 (98.8%) zerosZeros
QT_ING_OUTRA_FORMA has 443173 (99.6%) zerosZeros
QT_ING_0_17 has 437281 (98.3%) zerosZeros
QT_ING_18_24 has 244363 (54.9%) zerosZeros
QT_ING_25_29 has 275254 (61.9%) zerosZeros
QT_ING_30_34 has 288005 (64.8%) zerosZeros
QT_ING_35_39 has 303584 (68.3%) zerosZeros
QT_ING_40_49 has 300222 (67.5%) zerosZeros
QT_ING_50_59 has 384088 (86.4%) zerosZeros
QT_ING_60_MAIS has 430015 (96.7%) zerosZeros
QT_ING_BRANCA has 218859 (49.2%) zerosZeros
QT_ING_PRETA has 361188 (81.2%) zerosZeros
QT_ING_PARDA has 275170 (61.9%) zerosZeros
QT_ING_AMARELA has 414921 (93.3%) zerosZeros
QT_ING_INDIGENA has 435214 (97.8%) zerosZeros
QT_ING_CORND has 274019 (61.6%) zerosZeros
QT_MAT has 77195 (17.4%) zerosZeros
QT_MAT_FEM has 167226 (37.6%) zerosZeros
QT_MAT_MASC has 171220 (38.5%) zerosZeros
QT_MAT_DIURNO has 428250 (96.3%) zerosZeros
QT_MAT_NOTURNO has 417950 (94.0%) zerosZeros
QT_MAT_0_17 has 438262 (98.5%) zerosZeros
QT_MAT_18_24 has 234621 (52.7%) zerosZeros
QT_MAT_25_29 has 250285 (56.3%) zerosZeros
QT_MAT_30_34 has 256651 (57.7%) zerosZeros
QT_MAT_35_39 has 268883 (60.5%) zerosZeros
QT_MAT_40_49 has 262559 (59.0%) zerosZeros
QT_MAT_50_59 has 356351 (80.1%) zerosZeros
QT_MAT_60_MAIS has 419099 (94.2%) zerosZeros
QT_MAT_BRANCA has 183953 (41.4%) zerosZeros
QT_MAT_PRETA has 335327 (75.4%) zerosZeros
QT_MAT_PARDA has 240539 (54.1%) zerosZeros
QT_MAT_AMARELA has 395862 (89.0%) zerosZeros
QT_MAT_INDIGENA has 426987 (96.0%) zerosZeros
QT_MAT_CORND has 271592 (61.1%) zerosZeros
QT_CONC has 329174 (74.0%) zerosZeros
QT_CONC_FEM has 358969 (80.7%) zerosZeros
QT_CONC_MASC has 361050 (81.2%) zerosZeros
QT_CONC_DIURNO has 432318 (97.2%) zerosZeros
QT_CONC_NOTURNO has 423581 (95.2%) zerosZeros
QT_CONC_0_17 has 444782 (> 99.9%) zerosZeros
QT_CONC_18_24 has 392085 (88.2%) zerosZeros
QT_CONC_25_29 has 384236 (86.4%) zerosZeros
QT_CONC_30_34 has 387593 (87.1%) zerosZeros
QT_CONC_35_39 has 393659 (88.5%) zerosZeros
QT_CONC_40_49 has 391852 (88.1%) zerosZeros
QT_CONC_50_59 has 421149 (94.7%) zerosZeros
QT_CONC_60_MAIS has 438951 (98.7%) zerosZeros
QT_CONC_BRANCA has 360382 (81.0%) zerosZeros
QT_CONC_PRETA has 412042 (92.6%) zerosZeros
QT_CONC_PARDA has 378393 (85.1%) zerosZeros
QT_CONC_AMARELA has 431423 (97.0%) zerosZeros
QT_CONC_INDIGENA has 440953 (99.1%) zerosZeros
QT_CONC_CORND has 409204 (92.0%) zerosZeros
QT_ING_NACBRAS has 100453 (22.6%) zerosZeros
QT_ING_NACESTRANG has 440496 (99.0%) zerosZeros
QT_MAT_NACBRAS has 77361 (17.4%) zerosZeros
QT_MAT_NACESTRANG has 435738 (98.0%) zerosZeros
QT_CONC_NACBRAS has 329243 (74.0%) zerosZeros
QT_CONC_NACESTRANG has 442834 (99.6%) zerosZeros
QT_ALUNO_DEFICIENTE has 408293 (91.8%) zerosZeros
QT_ING_DEFICIENTE has 428803 (96.4%) zerosZeros
QT_MAT_DEFICIENTE has 417018 (93.8%) zerosZeros
QT_CONC_DEFICIENTE has 439187 (98.7%) zerosZeros
QT_ING_FINANC has 292460 (65.8%) zerosZeros
QT_ING_FINANC_REEMB has 436501 (98.1%) zerosZeros
QT_ING_FIES has 439255 (98.8%) zerosZeros
QT_ING_RPFIES has 441744 (99.3%) zerosZeros
QT_ING_FINANC_REEMB_OUTROS has 443467 (99.7%) zerosZeros
QT_ING_FINANC_NREEMB has 294413 (66.2%) zerosZeros
QT_ING_PROUNII has 420321 (94.5%) zerosZeros
QT_ING_PROUNIP has 439365 (98.8%) zerosZeros
QT_ING_NRPFIES has 315613 (71.0%) zerosZeros
QT_ING_FINANC_NREEMB_OUTROS has 433060 (97.4%) zerosZeros
QT_MAT_FINANC has 272505 (61.3%) zerosZeros
QT_MAT_FINANC_REEMB has 429045 (96.5%) zerosZeros
QT_MAT_FIES has 432431 (97.2%) zerosZeros
QT_MAT_RPFIES has 439245 (98.8%) zerosZeros
QT_MAT_FINANC_REEMB_OUTROS has 441382 (99.2%) zerosZeros
QT_MAT_FINANC_NREEMB has 274629 (61.7%) zerosZeros
QT_MAT_PROUNII has 396410 (89.1%) zerosZeros
QT_MAT_PROUNIP has 432214 (97.2%) zerosZeros
QT_MAT_NRPFIES has 310107 (69.7%) zerosZeros
QT_MAT_FINANC_NREEMB_OUTROS has 426588 (95.9%) zerosZeros
QT_CONC_FINANC has 395310 (88.9%) zerosZeros
QT_CONC_FINANC_REEMB has 435159 (97.8%) zerosZeros
QT_CONC_FIES has 436564 (98.2%) zerosZeros
QT_CONC_RPFIES has 442508 (99.5%) zerosZeros
QT_CONC_FINANC_REEMB_OUTROS has 443038 (99.6%) zerosZeros
QT_CONC_FINANC_NREEMB has 396767 (89.2%) zerosZeros
QT_CONC_PROUNII has 425368 (95.6%) zerosZeros
QT_CONC_PROUNIP has 439493 (98.8%) zerosZeros
QT_CONC_NRPFIES has 410722 (92.3%) zerosZeros
QT_CONC_FINANC_NREEMB_OUTROS has 438940 (98.7%) zerosZeros
QT_ING_RESERVA_VAGA has 437783 (98.4%) zerosZeros
QT_ING_RVREDEPUBLICA has 438109 (98.5%) zerosZeros
QT_ING_RVETNICO has 438644 (98.6%) zerosZeros
QT_ING_RVPDEF has 443283 (99.7%) zerosZeros
QT_ING_RVSOCIAL_RF has 439288 (98.8%) zerosZeros
QT_ING_RVOUTROS has 444187 (99.9%) zerosZeros
QT_MAT_RESERVA_VAGA has 435053 (97.8%) zerosZeros
QT_MAT_RVREDEPUBLICA has 435745 (98.0%) zerosZeros
QT_MAT_RVETNICO has 436185 (98.1%) zerosZeros
QT_MAT_RVPDEF has 441670 (99.3%) zerosZeros
QT_MAT_RVSOCIAL_RF has 437304 (98.3%) zerosZeros
QT_MAT_RVOUTROS has 443544 (99.7%) zerosZeros
QT_CONC_RESERVA_VAGA has 438233 (98.5%) zerosZeros
QT_CONC_RVREDEPUBLICA has 438742 (98.6%) zerosZeros
QT_CONC_RVETNICO has 439628 (98.8%) zerosZeros
QT_CONC_RVPDEF has 444545 (99.9%) zerosZeros
QT_CONC_RVSOCIAL_RF has 440131 (99.0%) zerosZeros
QT_CONC_RVOUTROS has 444410 (99.9%) zerosZeros
QT_SIT_TRANCADA has 277665 (62.4%) zerosZeros
QT_SIT_DESVINCULADO has 197442 (44.4%) zerosZeros
QT_SIT_TRANSFERIDO has 413180 (92.9%) zerosZeros
QT_SIT_FALECIDO has 443271 (99.7%) zerosZeros
QT_ING_PROCESCPUBLICA has 126721 (28.5%) zerosZeros
QT_ING_PROCESCPRIVADA has 307298 (69.1%) zerosZeros
QT_ING_PROCNAOINFORMADA has 444651 (> 99.9%) zerosZeros
QT_MAT_PROCESCPUBLICA has 103594 (23.3%) zerosZeros
QT_MAT_PROCESCPRIVADA has 280150 (63.0%) zerosZeros
QT_MAT_PROCNAOINFORMADA has 442521 (99.5%) zerosZeros
QT_CONC_PROCESCPUBLICA has 339881 (76.4%) zerosZeros
QT_CONC_PROCESCPRIVADA has 392178 (88.2%) zerosZeros
QT_CONC_PROCNAOINFORMADA has 443942 (99.8%) zerosZeros
QT_PARFOR has 444426 (99.9%) zerosZeros
QT_ING_PARFOR has 444775 (> 99.9%) zerosZeros
QT_MAT_PARFOR has 444512 (99.9%) zerosZeros
QT_CONC_PARFOR has 444672 (> 99.9%) zerosZeros
QT_APOIO_SOCIAL has 392543 (88.3%) zerosZeros
QT_ING_APOIO_SOCIAL has 411988 (92.6%) zerosZeros
QT_MAT_APOIO_SOCIAL has 396570 (89.2%) zerosZeros
QT_CONC_APOIO_SOCIAL has 422830 (95.1%) zerosZeros
QT_ATIV_EXTRACURRICULAR has 369704 (83.1%) zerosZeros
QT_ING_ATIV_EXTRACURRICULAR has 394425 (88.7%) zerosZeros
QT_MAT_ATIV_EXTRACURRICULAR has 375580 (84.4%) zerosZeros
QT_CONC_ATIV_EXTRACURRICULAR has 415050 (93.3%) zerosZeros
QT_MOB_ACADEMICA has 443713 (99.8%) zerosZeros
QT_ING_MOB_ACADEMICA has 444717 (> 99.9%) zerosZeros
QT_MAT_MOB_ACADEMICA has 443770 (99.8%) zerosZeros
QT_CONC_MOB_ACADEMICA has 444521 (99.9%) zerosZeros

Reproduction

Analysis started2024-07-29 00:09:09.015500
Analysis finished2024-07-29 00:09:12.696844
Duration3.68 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

NU_ANO_CENSO
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021
Minimum2021
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:12.826445image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum2021
5-th percentile2021
Q12021
median2021
Q32021
95-th percentile2021
Maximum2021
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2021
Median Absolute Deviation (MAD)0
Skewness0
Sum898912506
Variance0
MonotonicityIncreasing
2024-07-28T21:09:12.902683image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2021 444786
100.0%
ValueCountFrequency (%)
2021 444786
100.0%
ValueCountFrequency (%)
2021 444786
100.0%

NO_REGIAO
Text

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing7948
Missing (%)1.8%
Memory size3.4 MiB
2024-07-28T21:09:13.003446image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length12
Median length8
Mean length6.568920286
Min length3

Characters and Unicode

Total characters2869554
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCentro-Oeste
2nd rowCentro-Oeste
3rd rowCentro-Oeste
4th rowCentro-Oeste
5th rowCentro-Oeste
ValueCountFrequency (%)
sudeste 176111
40.3%
sul 100759
23.1%
nordeste 83391
19.1%
centro-oeste 40641
 
9.3%
norte 35936
 
8.2%
2024-07-28T21:09:13.198692image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 676863
23.6%
t 376720
13.1%
s 300143
10.5%
S 276870
9.6%
u 276870
9.6%
d 259502
 
9.0%
o 159968
 
5.6%
r 159968
 
5.6%
N 119327
 
4.2%
l 100759
 
3.5%
Other values (4) 162564
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2351434
81.9%
Uppercase Letter 477479
 
16.6%
Dash Punctuation 40641
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 676863
28.8%
t 376720
16.0%
s 300143
12.8%
u 276870
11.8%
d 259502
 
11.0%
o 159968
 
6.8%
r 159968
 
6.8%
l 100759
 
4.3%
n 40641
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 276870
58.0%
N 119327
25.0%
C 40641
 
8.5%
O 40641
 
8.5%
Dash Punctuation
ValueCountFrequency (%)
- 40641
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2828913
98.6%
Common 40641
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 676863
23.9%
t 376720
13.3%
s 300143
10.6%
S 276870
9.8%
u 276870
9.8%
d 259502
 
9.2%
o 159968
 
5.7%
r 159968
 
5.7%
N 119327
 
4.2%
l 100759
 
3.6%
Other values (3) 121923
 
4.3%
Common
ValueCountFrequency (%)
- 40641
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2869554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 676863
23.6%
t 376720
13.1%
s 300143
10.5%
S 276870
9.6%
u 276870
9.6%
d 259502
 
9.0%
o 159968
 
5.6%
r 159968
 
5.6%
N 119327
 
4.2%
l 100759
 
3.5%
Other values (4) 162564
 
5.7%

CO_REGIAO
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing7948
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean3.061299612
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:13.271676image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.057823544
Coefficient of variation (CV)0.3455472114
Kurtosis-0.4278061318
Mean3.061299612
Median Absolute Deviation (MAD)1
Skewness-0.06765966912
Sum1337292
Variance1.118990651
MonotonicityNot monotonic
2024-07-28T21:09:13.347428image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 176111
39.6%
4 100759
22.7%
2 83391
18.7%
5 40641
 
9.1%
1 35936
 
8.1%
(Missing) 7948
 
1.8%
ValueCountFrequency (%)
1 35936
 
8.1%
2 83391
18.7%
3 176111
39.6%
4 100759
22.7%
5 40641
 
9.1%
ValueCountFrequency (%)
5 40641
 
9.1%
4 100759
22.7%
3 176111
39.6%
2 83391
18.7%
1 35936
 
8.1%

NO_UF
Text

MISSING 

Distinct27
Distinct (%)< 0.1%
Missing7948
Missing (%)1.8%
Memory size3.4 MiB
2024-07-28T21:09:13.488223image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length19
Median length16
Mean length9.961640242
Min length4

Characters and Unicode

Total characters4351623
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDistrito Federal
2nd rowDistrito Federal
3rd rowDistrito Federal
4th rowDistrito Federal
5th rowDistrito Federal
ValueCountFrequency (%)
são 87745
 
10.6%
paulo 87745
 
10.6%
rio 66310
 
8.0%
minas 50729
 
6.1%
gerais 50729
 
6.1%
do 48594
 
5.9%
sul 44126
 
5.3%
paraná 40342
 
4.9%
grande 39442
 
4.8%
de 26868
 
3.3%
Other values (26) 283489
34.3%
2024-07-28T21:09:13.740057image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 664049
15.3%
o 468556
 
10.8%
389281
 
8.9%
i 295075
 
6.8%
r 291571
 
6.7%
n 264233
 
6.1%
e 189623
 
4.4%
s 187093
 
4.3%
S 171571
 
3.9%
P 167939
 
3.9%
Other values (27) 1262632
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3211685
73.8%
Uppercase Letter 750657
 
17.3%
Space Separator 389281
 
8.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 664049
20.7%
o 468556
14.6%
i 295075
9.2%
r 291571
9.1%
n 264233
 
8.2%
e 189623
 
5.9%
s 187093
 
5.8%
u 148815
 
4.6%
l 138987
 
4.3%
d 123200
 
3.8%
Other values (12) 440483
13.7%
Uppercase Letter
ValueCountFrequency (%)
S 171571
22.9%
P 167939
22.4%
G 128013
17.1%
M 82292
11.0%
R 73086
9.7%
C 39781
 
5.3%
J 26868
 
3.6%
B 23583
 
3.1%
A 13180
 
1.8%
E 10769
 
1.4%
Other values (4) 13575
 
1.8%
Space Separator
ValueCountFrequency (%)
389281
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3962342
91.1%
Common 389281
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 664049
16.8%
o 468556
11.8%
i 295075
 
7.4%
r 291571
 
7.4%
n 264233
 
6.7%
e 189623
 
4.8%
s 187093
 
4.7%
S 171571
 
4.3%
P 167939
 
4.2%
u 148815
 
3.8%
Other values (26) 1113817
28.1%
Common
ValueCountFrequency (%)
389281
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4136977
95.1%
None 214646
 
4.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 664049
16.1%
o 468556
11.3%
389281
 
9.4%
i 295075
 
7.1%
r 291571
 
7.0%
n 264233
 
6.4%
e 189623
 
4.6%
s 187093
 
4.5%
S 171571
 
4.1%
P 167939
 
4.1%
Other values (23) 1047986
25.3%
None
ValueCountFrequency (%)
ã 97878
45.6%
á 89521
41.7%
í 21750
 
10.1%
ô 5497
 
2.6%

SG_UF
Text

MISSING 

Distinct27
Distinct (%)< 0.1%
Missing7948
Missing (%)1.8%
Memory size3.4 MiB
2024-07-28T21:09:13.847224image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters873676
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDF
2nd rowDF
3rd rowDF
4th rowDF
5th rowDF
ValueCountFrequency (%)
sp 87745
20.1%
mg 50729
11.6%
pr 40342
9.2%
rs 34974
 
8.0%
rj 26868
 
6.2%
sc 25443
 
5.8%
ba 23583
 
5.4%
pa 16788
 
3.8%
go 16412
 
3.8%
ce 14338
 
3.3%
Other values (17) 99616
22.8%
2024-07-28T21:09:14.024139image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 171571
19.6%
P 169580
19.4%
R 114707
13.1%
M 87261
10.0%
G 67141
 
7.7%
A 63684
 
7.3%
C 42034
 
4.8%
E 40678
 
4.7%
B 29703
 
3.4%
J 26868
 
3.1%
Other values (7) 60449
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 873676
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 171571
19.6%
P 169580
19.4%
R 114707
13.1%
M 87261
10.0%
G 67141
 
7.7%
A 63684
 
7.3%
C 42034
 
4.8%
E 40678
 
4.7%
B 29703
 
3.4%
J 26868
 
3.1%
Other values (7) 60449
 
6.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 873676
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 171571
19.6%
P 169580
19.4%
R 114707
13.1%
M 87261
10.0%
G 67141
 
7.7%
A 63684
 
7.3%
C 42034
 
4.8%
E 40678
 
4.7%
B 29703
 
3.4%
J 26868
 
3.1%
Other values (7) 60449
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 873676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 171571
19.6%
P 169580
19.4%
R 114707
13.1%
M 87261
10.0%
G 67141
 
7.7%
A 63684
 
7.3%
C 42034
 
4.8%
E 40678
 
4.7%
B 29703
 
3.4%
J 26868
 
3.1%
Other values (7) 60449
 
6.9%

CO_UF
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)< 0.1%
Missing7948
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean33.91817791
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:14.112478image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q129
median35
Q341
95-th percentile51
Maximum53
Range42
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.61275212
Coefficient of variation (CV)0.2834100389
Kurtosis-0.111910186
Mean33.91817791
Median Absolute Deviation (MAD)6
Skewness-0.2204213881
Sum14816749
Variance92.40500331
MonotonicityNot monotonic
2024-07-28T21:09:14.194774image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
35 87745
19.7%
31 50729
11.4%
41 40342
9.1%
43 34974
 
7.9%
33 26868
 
6.0%
42 25443
 
5.7%
29 23583
 
5.3%
15 16788
 
3.8%
52 16412
 
3.7%
23 14338
 
3.2%
Other values (17) 99616
22.4%
ValueCountFrequency (%)
11 5497
 
1.2%
12 2253
 
0.5%
13 4969
 
1.1%
14 1279
 
0.3%
15 16788
3.8%
ValueCountFrequency (%)
53 2799
 
0.6%
52 16412
3.7%
51 12278
 
2.8%
50 9152
 
2.1%
43 34974
7.9%

NO_MUNICIPIO
Text

MISSING 

Distinct2944
Distinct (%)0.7%
Missing7948
Missing (%)1.8%
Memory size3.4 MiB
2024-07-28T21:09:14.428366image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length29
Median length25
Mean length10.29937185
Min length3

Characters and Unicode

Total characters4499157
Distinct characters70
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)< 0.1%

Sample

1st rowBrasília
2nd rowBrasília
3rd rowBrasília
4th rowBrasília
5th rowBrasília
ValueCountFrequency (%)
são 30773
 
4.4%
do 29542
 
4.2%
de 20854
 
3.0%
rio 13454
 
1.9%
sul 8886
 
1.3%
da 8018
 
1.1%
santa 7224
 
1.0%
grande 6549
 
0.9%
dos 6362
 
0.9%
paulo 6324
 
0.9%
Other values (2546) 566389
80.4%
2024-07-28T21:09:14.779553image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 662711
14.7%
o 406080
 
9.0%
r 320851
 
7.1%
i 295607
 
6.6%
267537
 
5.9%
e 257506
 
5.7%
n 212376
 
4.7%
s 177411
 
3.9%
u 170072
 
3.8%
t 162067
 
3.6%
Other values (60) 1566939
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3590073
79.8%
Uppercase Letter 637829
 
14.2%
Space Separator 267537
 
5.9%
Dash Punctuation 1911
 
< 0.1%
Other Punctuation 1807
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 662711
18.5%
o 406080
11.3%
r 320851
8.9%
i 295607
 
8.2%
e 257506
 
7.2%
n 212376
 
5.9%
s 177411
 
4.9%
u 170072
 
4.7%
t 162067
 
4.5%
d 146442
 
4.1%
Other values (28) 778950
21.7%
Uppercase Letter
ValueCountFrequency (%)
S 81129
12.7%
C 79357
12.4%
P 69143
10.8%
B 43547
 
6.8%
A 42555
 
6.7%
M 41340
 
6.5%
I 33614
 
5.3%
G 33091
 
5.2%
J 32956
 
5.2%
R 30320
 
4.8%
Other values (19) 150777
23.6%
Space Separator
ValueCountFrequency (%)
267537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1911
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1807
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4227902
94.0%
Common 271255
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 662711
15.7%
o 406080
 
9.6%
r 320851
 
7.6%
i 295607
 
7.0%
e 257506
 
6.1%
n 212376
 
5.0%
s 177411
 
4.2%
u 170072
 
4.0%
t 162067
 
3.8%
d 146442
 
3.5%
Other values (57) 1416779
33.5%
Common
ValueCountFrequency (%)
267537
98.6%
- 1911
 
0.7%
' 1807
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4297427
95.5%
None 201730
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 662711
15.4%
o 406080
 
9.4%
r 320851
 
7.5%
i 295607
 
6.9%
267537
 
6.2%
e 257506
 
6.0%
n 212376
 
4.9%
s 177411
 
4.1%
u 170072
 
4.0%
t 162067
 
3.8%
Other values (44) 1365209
31.8%
None
ValueCountFrequency (%)
ã 54552
27.0%
á 29342
14.5%
í 26096
12.9%
é 23912
11.9%
ó 20725
 
10.3%
ç 19716
 
9.8%
â 10065
 
5.0%
ú 6582
 
3.3%
ê 5177
 
2.6%
ô 2203
 
1.1%
Other values (6) 3360
 
1.7%

CO_MUNICIPIO
Real number (ℝ)

MISSING 

Distinct3042
Distinct (%)0.7%
Missing7948
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean3408159.317
Minimum1100015
Maximum5300108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:14.891126image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1100015
5-th percentile1503200
Q12919306
median3507605
Q34119954
95-th percentile5107875
Maximum5300108
Range4200093
Interquartile range (IQR)1200648

Descriptive statistics

Standard deviation962222.2936
Coefficient of variation (CV)0.2823290241
Kurtosis-0.09857039882
Mean3408159.317
Median Absolute Deviation (MAD)604404
Skewness-0.2492139795
Sum1.4888135 × 1012
Variance9.258717424 × 1011
MonotonicityNot monotonic
2024-07-28T21:09:15.002001image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3550308 5683
 
1.3%
3304557 3765
 
0.8%
3106200 3181
 
0.7%
4106902 2956
 
0.7%
5300108 2799
 
0.6%
2304400 2387
 
0.5%
2927408 2350
 
0.5%
4314902 2305
 
0.5%
1302603 2205
 
0.5%
5208707 2005
 
0.5%
Other values (3032) 407202
91.6%
(Missing) 7948
 
1.8%
ValueCountFrequency (%)
1100015 95
 
< 0.1%
1100023 435
0.1%
1100049 442
0.1%
1100056 100
 
< 0.1%
1100064 61
 
< 0.1%
ValueCountFrequency (%)
5300108 2799
0.6%
5222054 1
 
< 0.1%
5222005 57
 
< 0.1%
5221858 769
 
0.2%
5221809 14
 
< 0.1%

IN_CAPITAL
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7948
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.1220177732
Minimum0
Maximum1
Zeros383536
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:15.092036image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3273067085
Coefficient of variation (CV)2.682451089
Kurtosis3.334554494
Mean0.1220177732
Median Absolute Deviation (MAD)0
Skewness2.309662146
Sum53302
Variance0.1071296814
MonotonicityNot monotonic
2024-07-28T21:09:15.162341image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 383536
86.2%
1 53302
 
12.0%
(Missing) 7948
 
1.8%
ValueCountFrequency (%)
0 383536
86.2%
1 53302
 
12.0%
ValueCountFrequency (%)
1 53302
 
12.0%
0 383536
86.2%

TP_DIMENSAO
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.938221976
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:15.233591image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3108279465
Coefficient of variation (CV)0.160367569
Kurtosis7.417845517
Mean1.938221976
Median Absolute Deviation (MAD)0
Skewness-1.307545918
Sum862094
Variance0.09661401232
MonotonicityNot monotonic
2024-07-28T21:09:15.303692image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 401088
90.2%
1 35750
 
8.0%
3 7624
 
1.7%
4 324
 
0.1%
ValueCountFrequency (%)
1 35750
 
8.0%
2 401088
90.2%
3 7624
 
1.7%
4 324
 
0.1%
ValueCountFrequency (%)
4 324
 
0.1%
3 7624
 
1.7%
2 401088
90.2%
1 35750
 
8.0%

TP_ORGANIZACAO_ACADEMICA
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.554109167
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:15.377470image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6071215989
Coefficient of variation (CV)0.3906556964
Kurtosis0.3425121496
Mean1.554109167
Median Absolute Deviation (MAD)0
Skewness0.7491375101
Sum691246
Variance0.3685966358
MonotonicityNot monotonic
2024-07-28T21:09:15.454880image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 223054
50.1%
2 199241
44.8%
3 20315
 
4.6%
4 2115
 
0.5%
5 61
 
< 0.1%
ValueCountFrequency (%)
1 223054
50.1%
2 199241
44.8%
3 20315
 
4.6%
4 2115
 
0.5%
5 61
 
< 0.1%
ValueCountFrequency (%)
5 61
 
< 0.1%
4 2115
 
0.5%
3 20315
 
4.6%
2 199241
44.8%
1 223054
50.1%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.032539244
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:15.526009image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median4
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6169950856
Coefficient of variation (CV)0.1530041119
Kurtosis12.12274166
Mean4.032539244
Median Absolute Deviation (MAD)0
Skewness-2.513488385
Sum1793617
Variance0.3806829356
MonotonicityNot monotonic
2024-07-28T21:09:15.598052image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 371482
83.5%
5 56151
 
12.6%
1 9447
 
2.1%
2 6435
 
1.4%
3 1070
 
0.2%
7 201
 
< 0.1%
ValueCountFrequency (%)
1 9447
 
2.1%
2 6435
 
1.4%
3 1070
 
0.2%
4 371482
83.5%
5 56151
 
12.6%
ValueCountFrequency (%)
7 201
 
< 0.1%
5 56151
 
12.6%
4 371482
83.5%
3 1070
 
0.2%
2 6435
 
1.4%

TP_REDE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.961435387
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:15.685962image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1925551014
Coefficient of variation (CV)0.09817050446
Kurtosis20.97086851
Mean1.961435387
Median Absolute Deviation (MAD)0
Skewness-4.792783556
Sum872419
Variance0.03707746707
MonotonicityNot monotonic
2024-07-28T21:09:15.759964image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 427633
96.1%
1 17153
 
3.9%
ValueCountFrequency (%)
1 17153
 
3.9%
2 427633
96.1%
ValueCountFrequency (%)
2 427633
96.1%
1 17153
 
3.9%

CO_IES
Real number (ℝ)

Distinct2574
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1451.538459
Minimum1
Maximum25613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:15.843318image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile163
Q1322
median1196
Q31491
95-th percentile3840
Maximum25613
Range25612
Interquartile range (IQR)1169

Descriptive statistics

Standard deviation2579.550266
Coefficient of variation (CV)1.777114654
Kurtosis33.84239843
Mean1451.538459
Median Absolute Deviation (MAD)700
Skewness5.491417505
Sum645623985
Variance6654079.576
MonotonicityNot monotonic
2024-07-28T21:09:15.941990image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1472 45640
 
10.3%
1491 39924
 
9.0%
298 36150
 
8.1%
1196 30067
 
6.8%
163 25682
 
5.8%
221 22231
 
5.0%
322 19588
 
4.4%
671 15607
 
3.5%
1510 12795
 
2.9%
1270 11440
 
2.6%
Other values (2564) 185662
41.7%
ValueCountFrequency (%)
1 125
 
< 0.1%
2 189
< 0.1%
3 222
< 0.1%
4 113
 
< 0.1%
5 345
0.1%
ValueCountFrequency (%)
25613 2
 
< 0.1%
25352 20
< 0.1%
25282 25
< 0.1%
25277 12
< 0.1%
25275 7
 
< 0.1%
Distinct1346
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:16.153541image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length158
Median length86
Mean length17.55517934
Min length4

Characters and Unicode

Total characters7808298
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique626 ?
Unique (%)0.1%

Sample

1st rowAdministração Pública
2nd rowCiências Naturais E Matemática
3rd rowMatemática
4th rowPedagogia
5th rowTecnologia Educacional
ValueCountFrequency (%)
gestão 82378
 
8.2%
de 69581
 
6.9%
e 44084
 
4.4%
ciências 28998
 
2.9%
engenharia 26823
 
2.7%
da 24350
 
2.4%
22681
 
2.3%
letras 20482
 
2.0%
educação 17028
 
1.7%
administração 16652
 
1.7%
Other values (861) 649159
64.8%
2024-07-28T21:09:16.501471image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 744786
 
9.5%
i 709127
 
9.1%
o 616901
 
7.9%
e 602883
 
7.7%
557458
 
7.1%
s 522342
 
6.7%
r 387414
 
5.0%
n 370011
 
4.7%
t 368661
 
4.7%
c 284238
 
3.6%
Other values (66) 2644477
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6242890
80.0%
Uppercase Letter 980502
 
12.6%
Space Separator 557458
 
7.1%
Dash Punctuation 23616
 
0.3%
Other Punctuation 3812
 
< 0.1%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 744786
11.9%
i 709127
11.4%
o 616901
9.9%
e 602883
9.7%
s 522342
 
8.4%
r 387414
 
6.2%
n 370011
 
5.9%
t 368661
 
5.9%
c 284238
 
4.6%
g 224599
 
3.6%
Other values (29) 1411928
22.6%
Uppercase Letter
ValueCountFrequency (%)
D 139011
14.2%
E 126193
12.9%
G 107300
10.9%
P 99133
10.1%
C 92387
9.4%
S 68140
 
6.9%
A 55029
 
5.6%
I 43203
 
4.4%
F 42797
 
4.4%
L 35684
 
3.6%
Other values (19) 171625
17.5%
Other Punctuation
ValueCountFrequency (%)
, 3078
80.7%
: 698
 
18.3%
/ 34
 
0.9%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
557458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23616
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7223392
92.5%
Common 584906
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 744786
 
10.3%
i 709127
 
9.8%
o 616901
 
8.5%
e 602883
 
8.3%
s 522342
 
7.2%
r 387414
 
5.4%
n 370011
 
5.1%
t 368661
 
5.1%
c 284238
 
3.9%
g 224599
 
3.1%
Other values (58) 2392430
33.1%
Common
ValueCountFrequency (%)
557458
95.3%
- 23616
 
4.0%
, 3078
 
0.5%
: 698
 
0.1%
/ 34
 
< 0.1%
( 10
 
< 0.1%
) 10
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7319579
93.7%
None 488719
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 744786
 
10.2%
i 709127
 
9.7%
o 616901
 
8.4%
e 602883
 
8.2%
557458
 
7.6%
s 522342
 
7.1%
r 387414
 
5.3%
n 370011
 
5.1%
t 368661
 
5.0%
c 284238
 
3.9%
Other values (49) 2155758
29.5%
None
ValueCountFrequency (%)
ã 156596
32.0%
ç 107469
22.0%
ê 53335
 
10.9%
á 48045
 
9.8%
í 44611
 
9.1%
ó 27125
 
5.6%
ú 21074
 
4.3%
é 16891
 
3.5%
ô 5692
 
1.2%
â 4319
 
0.9%
Other values (7) 3562
 
0.7%

CO_CURSO
Real number (ℝ)

Distinct43374
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1190565.778
Minimum1
Maximum50017018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:16.612056image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile91705
Q11185929
median1379281
Q31468024
95-th percentile1562884
Maximum50017018
Range50017017
Interquartile range (IQR)282095

Descriptive statistics

Standard deviation555995.3689
Coefficient of variation (CV)0.4670009664
Kurtosis142.1310688
Mean1190565.778
Median Absolute Deviation (MAD)107340
Skewness1.618022463
Sum5.295469902 × 1011
Variance3.091308503 × 1011
MonotonicityNot monotonic
2024-07-28T21:09:16.719163image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89380 958
 
0.2%
97980 943
 
0.2%
97982 926
 
0.2%
97992 889
 
0.2%
97990 877
 
0.2%
111090 858
 
0.2%
1190157 854
 
0.2%
97986 851
 
0.2%
1268023 835
 
0.2%
1268059 833
 
0.2%
Other values (43364) 435962
98.0%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
ValueCountFrequency (%)
50017018 1
< 0.1%
5001696 1
< 0.1%
5001676 1
< 0.1%
5001675 1
< 0.1%
5001629 1
< 0.1%
Distinct349
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:16.886349image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length98
Median length69
Mean length19.94889003
Min length4

Characters and Unicode

Total characters8872987
Distinct characters62
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)< 0.1%

Sample

1st rowAdministração pública
2nd rowCiências naturais formação de professor
3rd rowMatemática formação de professor
4th rowPedagogia
5th rowComputação formação de professor
ValueCountFrequency (%)
de 145278
 
12.9%
formação 81731
 
7.3%
professor 81725
 
7.3%
gestão 79913
 
7.1%
engenharia 28793
 
2.6%
da 25034
 
2.2%
e 24813
 
2.2%
informação 21293
 
1.9%
letras 20800
 
1.8%
administração 17911
 
1.6%
Other values (322) 599644
53.2%
2024-07-28T21:09:17.207936image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 917272
 
10.3%
a 838737
 
9.5%
e 733388
 
8.3%
i 686321
 
7.7%
682149
 
7.7%
r 628090
 
7.1%
s 623477
 
7.0%
t 362059
 
4.1%
d 347863
 
3.9%
n 326242
 
3.7%
Other values (52) 2727389
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7726331
87.1%
Space Separator 682149
 
7.7%
Uppercase Letter 456232
 
5.1%
Other Punctuation 3137
 
< 0.1%
Open Punctuation 2430
 
< 0.1%
Close Punctuation 2430
 
< 0.1%
Dash Punctuation 278
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 917272
11.9%
a 838737
10.9%
e 733388
 
9.5%
i 686321
 
8.9%
r 628090
 
8.1%
s 623477
 
8.1%
t 362059
 
4.7%
d 347863
 
4.5%
n 326242
 
4.2%
c 266897
 
3.5%
Other values (26) 1995985
25.8%
Uppercase Letter
ValueCountFrequency (%)
G 93648
20.5%
E 64029
14.0%
S 47073
10.3%
P 34448
 
7.6%
C 32440
 
7.1%
A 29855
 
6.5%
L 29716
 
6.5%
M 27849
 
6.1%
F 16350
 
3.6%
B 14231
 
3.1%
Other values (11) 66593
14.6%
Space Separator
ValueCountFrequency (%)
682149
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8182563
92.2%
Common 690424
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 917272
 
11.2%
a 838737
 
10.3%
e 733388
 
9.0%
i 686321
 
8.4%
r 628090
 
7.7%
s 623477
 
7.6%
t 362059
 
4.4%
d 347863
 
4.3%
n 326242
 
4.0%
c 266897
 
3.3%
Other values (47) 2452217
30.0%
Common
ValueCountFrequency (%)
682149
98.8%
, 3137
 
0.5%
( 2430
 
0.4%
) 2430
 
0.4%
- 278
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8245075
92.9%
None 627912
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 917272
11.1%
a 838737
 
10.2%
e 733388
 
8.9%
i 686321
 
8.3%
682149
 
8.3%
r 628090
 
7.6%
s 623477
 
7.6%
t 362059
 
4.4%
d 347863
 
4.2%
n 326242
 
4.0%
Other values (41) 2099477
25.5%
None
ValueCountFrequency (%)
ã 246994
39.3%
ç 198760
31.7%
í 44881
 
7.1%
ê 36571
 
5.8%
ó 27526
 
4.4%
á 27026
 
4.3%
ú 20449
 
3.3%
é 18433
 
2.9%
â 3328
 
0.5%
õ 3305
 
0.5%
Distinct349
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:17.458065image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters4003074
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)< 0.1%

Sample

1st row"0413A02"
2nd row"0114C02"
3rd row"0114M01"
4th row"0113P01"
5th row"0114C05"
ValueCountFrequency (%)
0113p01 16402
 
3.7%
0413a01 14752
 
3.3%
0411c01 12762
 
2.9%
0413g07 12688
 
2.9%
0615s02 12482
 
2.8%
0414m01 12442
 
2.8%
0412g01 9429
 
2.1%
0413l01 8909
 
2.0%
0413g12 8735
 
2.0%
0114m01 8640
 
1.9%
Other values (339) 327545
73.6%
2024-07-28T21:09:17.797708image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 891428
22.3%
" 889572
22.2%
0 859209
21.5%
4 245297
 
6.1%
2 204917
 
5.1%
3 202284
 
5.1%
G 93648
 
2.3%
5 93448
 
2.3%
E 62109
 
1.6%
6 57020
 
1.4%
Other values (22) 404142
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2668716
66.7%
Other Punctuation 889572
 
22.2%
Uppercase Letter 444786
 
11.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 93648
21.1%
E 62109
14.0%
S 47004
10.6%
P 34448
 
7.7%
A 29776
 
6.7%
L 29716
 
6.7%
C 29356
 
6.6%
M 27849
 
6.3%
F 16350
 
3.7%
B 13939
 
3.1%
Other values (11) 60591
13.6%
Decimal Number
ValueCountFrequency (%)
1 891428
33.4%
0 859209
32.2%
4 245297
 
9.2%
2 204917
 
7.7%
3 202284
 
7.6%
5 93448
 
3.5%
6 57020
 
2.1%
7 56790
 
2.1%
9 43814
 
1.6%
8 14509
 
0.5%
Other Punctuation
ValueCountFrequency (%)
" 889572
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3558288
88.9%
Latin 444786
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 93648
21.1%
E 62109
14.0%
S 47004
10.6%
P 34448
 
7.7%
A 29776
 
6.7%
L 29716
 
6.7%
C 29356
 
6.6%
M 27849
 
6.3%
F 16350
 
3.7%
B 13939
 
3.1%
Other values (11) 60591
13.6%
Common
ValueCountFrequency (%)
1 891428
25.1%
" 889572
25.0%
0 859209
24.1%
4 245297
 
6.9%
2 204917
 
5.8%
3 202284
 
5.7%
5 93448
 
2.6%
6 57020
 
1.6%
7 56790
 
1.6%
9 43814
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4003074
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 891428
22.3%
" 889572
22.2%
0 859209
21.5%
4 245297
 
6.1%
2 204917
 
5.1%
3 202284
 
5.1%
G 93648
 
2.3%
5 93448
 
2.3%
E 62109
 
1.6%
6 57020
 
1.4%
Other values (22) 404142
10.1%

CO_CINE_AREA_GERAL
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.510638824
Minimum0
Maximum10
Zeros292
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:17.894442image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q37
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.839422142
Coefficient of variation (CV)0.6294944581
Kurtosis-0.8363230002
Mean4.510638824
Median Absolute Deviation (MAD)2
Skewness0.4540016729
Sum2006269
Variance8.062318102
MonotonicityNot monotonic
2024-07-28T21:09:17.974355image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4 143368
32.2%
1 102075
22.9%
9 41530
 
9.3%
6 39087
 
8.8%
7 37529
 
8.4%
10 29483
 
6.6%
2 23807
 
5.4%
3 16600
 
3.7%
5 6879
 
1.5%
8 4136
 
0.9%
ValueCountFrequency (%)
0 292
 
0.1%
1 102075
22.9%
2 23807
 
5.4%
3 16600
 
3.7%
4 143368
32.2%
ValueCountFrequency (%)
10 29483
6.6%
9 41530
9.3%
8 4136
 
0.9%
7 37529
8.4%
6 39087
8.8%
Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:18.096018image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length58
Median length46
Mean length26.16015567
Min length8

Characters and Unicode

Total characters11635671
Distinct characters39
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNegócios, administração e direito
2nd rowEducação
3rd rowEducação
4th rowEducação
5th rowEducação
ValueCountFrequency (%)
e 352023
23.4%
negócios 143368
 
9.5%
direito 143368
 
9.5%
administração 143368
 
9.5%
educação 102075
 
6.8%
informação 55687
 
3.7%
comunicação 55687
 
3.7%
saúde 41530
 
2.8%
bem-estar 41530
 
2.8%
computação 39087
 
2.6%
Other values (20) 384789
25.6%
2024-07-28T21:09:18.314726image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1108058
 
9.5%
1057726
 
9.1%
i 1040800
 
8.9%
e 943228
 
8.1%
a 921659
 
7.9%
r 577973
 
5.0%
s 568443
 
4.9%
d 554571
 
4.8%
ç 500445
 
4.3%
t 482371
 
4.1%
Other values (29) 3880397
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9566285
82.2%
Space Separator 1057726
 
9.1%
Uppercase Letter 679308
 
5.8%
Other Punctuation 212648
 
1.8%
Dash Punctuation 41530
 
0.4%
Open Punctuation 39087
 
0.3%
Close Punctuation 39087
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1108058
11.6%
i 1040800
10.9%
e 943228
 
9.9%
a 921659
 
9.6%
r 577973
 
6.0%
s 568443
 
5.9%
d 554571
 
5.8%
ç 500445
 
5.2%
t 482371
 
5.0%
ã 470962
 
4.9%
Other values (16) 2397775
25.1%
Uppercase Letter
ValueCountFrequency (%)
N 143368
21.1%
C 140740
20.7%
E 139604
20.6%
T 78174
11.5%
I 78174
11.5%
S 71013
10.5%
A 27943
 
4.1%
P 292
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1057726
100.0%
Other Punctuation
ValueCountFrequency (%)
, 212648
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41530
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39087
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39087
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10245593
88.1%
Common 1390078
 
11.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1108058
 
10.8%
i 1040800
 
10.2%
e 943228
 
9.2%
a 921659
 
9.0%
r 577973
 
5.6%
s 568443
 
5.5%
d 554571
 
5.4%
ç 500445
 
4.9%
t 482371
 
4.7%
ã 470962
 
4.6%
Other values (24) 3077083
30.0%
Common
ValueCountFrequency (%)
1057726
76.1%
, 212648
 
15.3%
- 41530
 
3.0%
( 39087
 
2.8%
) 39087
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10437701
89.7%
None 1197970
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1108058
10.6%
1057726
 
10.1%
i 1040800
 
10.0%
e 943228
 
9.0%
a 921659
 
8.8%
r 577973
 
5.5%
s 568443
 
5.4%
d 554571
 
5.3%
t 482371
 
4.6%
n 464717
 
4.5%
Other values (22) 2718155
26.0%
None
ValueCountFrequency (%)
ç 500445
41.8%
ã 470962
39.3%
ó 143368
 
12.0%
ú 41530
 
3.5%
ê 23479
 
2.0%
á 11307
 
0.9%
í 6879
 
0.6%

CO_CINE_AREA_ESPECIFICA
Real number (ℝ)

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.39544185
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:18.404897image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q121
median41
Q371
95-th percentile101
Maximum108
Range107
Interquartile range (IQR)50

Descriptive statistics

Standard deviation28.58703745
Coefficient of variation (CV)0.6161604741
Kurtosis-0.8214115772
Mean46.39544185
Median Absolute Deviation (MAD)20
Skewness0.4600565282
Sum20636043
Variance817.21871
MonotonicityNot monotonic
2024-07-28T21:09:18.501671image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
41 135413
30.4%
11 101295
22.8%
61 38752
 
8.7%
91 30584
 
6.9%
71 21698
 
4.9%
21 14469
 
3.3%
103 12540
 
2.8%
101 12331
 
2.8%
31 10843
 
2.4%
92 10737
 
2.4%
Other values (27) 56124
12.6%
ValueCountFrequency (%)
1 292
 
0.1%
11 101295
22.8%
18 780
 
0.2%
21 14469
 
3.3%
22 7729
 
1.7%
ValueCountFrequency (%)
108 4
 
< 0.1%
104 981
 
0.2%
103 12540
2.8%
102 3627
 
0.8%
101 12331
2.8%
Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:18.655920image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length98
Median length86
Mean length21.70382386
Min length5

Characters and Unicode

Total characters9653557
Distinct characters48
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNegócios e administração
2nd rowEducação
3rd rowEducação
4th rowEducação
5th rowEducação
ValueCountFrequency (%)
e 277165
22.4%
administração 136668
11.0%
negócios 136668
11.0%
educação 102075
 
8.2%
informação 44844
 
3.6%
comunicação 44844
 
3.6%
computação 39087
 
3.2%
tecnologias 39087
 
3.2%
da 39087
 
3.2%
tic 39087
 
3.2%
Other values (39) 338841
27.4%
2024-07-28T21:09:18.893435image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 916992
 
9.5%
a 896847
 
9.3%
792667
 
8.2%
e 756112
 
7.8%
i 730299
 
7.6%
s 634120
 
6.6%
c 438139
 
4.5%
r 430911
 
4.5%
ç 425377
 
4.4%
n 410359
 
4.3%
Other values (38) 3221734
33.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8074038
83.6%
Space Separator 792667
 
8.2%
Uppercase Letter 679308
 
7.0%
Open Punctuation 46816
 
0.5%
Close Punctuation 46816
 
0.5%
Dash Punctuation 10946
 
0.1%
Other Punctuation 2966
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 916992
11.4%
a 896847
11.1%
e 756112
 
9.4%
i 730299
 
9.0%
s 634120
 
7.9%
c 438139
 
5.4%
r 430911
 
5.3%
ç 425377
 
5.3%
n 410359
 
5.1%
ã 383354
 
4.7%
Other values (19) 2051528
25.4%
Uppercase Letter
ValueCountFrequency (%)
C 137296
20.2%
N 135413
19.9%
E 122993
18.1%
T 78174
11.5%
I 78174
11.5%
S 56512
8.3%
A 25150
 
3.7%
P 13334
 
2.0%
H 11356
 
1.7%
B 10737
 
1.6%
Other values (4) 10169
 
1.5%
Space Separator
ValueCountFrequency (%)
792667
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46816
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46816
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10946
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2966
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8753346
90.7%
Common 900211
 
9.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 916992
 
10.5%
a 896847
 
10.2%
e 756112
 
8.6%
i 730299
 
8.3%
s 634120
 
7.2%
c 438139
 
5.0%
r 430911
 
4.9%
ç 425377
 
4.9%
n 410359
 
4.7%
ã 383354
 
4.4%
Other values (33) 2730836
31.2%
Common
ValueCountFrequency (%)
792667
88.1%
( 46816
 
5.2%
) 46816
 
5.2%
- 10946
 
1.2%
, 2966
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8615692
89.2%
None 1037865
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 916992
10.6%
a 896847
 
10.4%
792667
 
9.2%
e 756112
 
8.8%
i 730299
 
8.5%
s 634120
 
7.4%
c 438139
 
5.1%
r 430911
 
5.0%
n 410359
 
4.8%
d 363462
 
4.2%
Other values (30) 2245784
26.1%
None
ValueCountFrequency (%)
ç 425377
41.0%
ã 383354
36.9%
ó 139060
 
13.4%
ú 34420
 
3.3%
õ 21698
 
2.1%
ê 17461
 
1.7%
í 13788
 
1.3%
á 2707
 
0.3%

CO_CINE_AREA_DETALHADA
Real number (ℝ)

Distinct89
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467.2259559
Minimum11
Maximum1088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:19.003662image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile113
Q1212
median413
Q3712
95-th percentile1013
Maximum1088
Range1077
Interquartile range (IQR)500

Descriptive statistics

Standard deviation285.8312081
Coefficient of variation (CV)0.6117622631
Kurtosis-0.8245059907
Mean467.2259559
Median Absolute Deviation (MAD)202
Skewness0.4615307632
Sum207815564
Variance81699.47953
MonotonicityNot monotonic
2024-07-28T21:09:19.107850image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
413 81302
18.3%
114 59419
 
13.4%
113 19495
 
4.4%
115 19211
 
4.3%
414 17199
 
3.9%
615 15929
 
3.6%
915 14453
 
3.2%
411 12796
 
2.9%
1032 12519
 
2.8%
612 11605
 
2.6%
Other values (79) 180858
40.7%
ValueCountFrequency (%)
11 292
 
0.1%
111 3168
 
0.7%
112 2
 
< 0.1%
113 19495
 
4.4%
114 59419
13.4%
ValueCountFrequency (%)
1088 4
 
< 0.1%
1041 981
 
0.2%
1032 12519
2.8%
1031 21
 
< 0.1%
1022 3627
 
0.8%
Distinct89
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:19.323525image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length98
Median length74
Mean length32.7796311
Min length5

Characters and Unicode

Total characters14579921
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowGestão e administração
2nd rowFormação de professores em áreas específicas (exceto Letras)
3rd rowFormação de professores em áreas específicas (exceto Letras)
4th rowFormação de professores sem áreas específicas
5th rowFormação de professores em áreas específicas (exceto Letras)
ValueCountFrequency (%)
e 264067
 
13.3%
de 242883
 
12.2%
gestão 120355
 
6.1%
formação 98127
 
4.9%
professores 98127
 
4.9%
administração 82557
 
4.2%
letras 80219
 
4.0%
áreas 78914
 
4.0%
específicas 78914
 
4.0%
em 59419
 
3.0%
Other values (162) 784594
39.5%
2024-07-28T21:09:19.636654image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1861449
12.8%
1543390
 
10.6%
o 1313664
 
9.0%
s 1194111
 
8.2%
a 1188774
 
8.2%
r 1000733
 
6.9%
i 808668
 
5.5%
t 678682
 
4.7%
d 537124
 
3.7%
ã 457632
 
3.1%
Other values (49) 3995694
27.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12316058
84.5%
Space Separator 1543390
 
10.6%
Uppercase Letter 541030
 
3.7%
Open Punctuation 59766
 
0.4%
Close Punctuation 59766
 
0.4%
Other Punctuation 59702
 
0.4%
Dash Punctuation 209
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1861449
15.1%
o 1313664
10.7%
s 1194111
9.7%
a 1188774
9.7%
r 1000733
 
8.1%
i 808668
 
6.6%
t 678682
 
5.5%
d 537124
 
4.4%
ã 457632
 
3.7%
c 438919
 
3.6%
Other values (26) 2836302
23.0%
Uppercase Letter
ValueCountFrequency (%)
F 112850
20.9%
G 108750
20.1%
L 61008
11.3%
P 55312
10.2%
C 41030
 
7.6%
T 32238
 
6.0%
M 29216
 
5.4%
S 28310
 
5.2%
E 24572
 
4.5%
I 23880
 
4.4%
Other values (8) 23864
 
4.4%
Space Separator
ValueCountFrequency (%)
1543390
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59766
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59766
100.0%
Other Punctuation
ValueCountFrequency (%)
, 59702
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12857088
88.2%
Common 1722833
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1861449
14.5%
o 1313664
 
10.2%
s 1194111
 
9.3%
a 1188774
 
9.2%
r 1000733
 
7.8%
i 808668
 
6.3%
t 678682
 
5.3%
d 537124
 
4.2%
ã 457632
 
3.6%
c 438919
 
3.4%
Other values (44) 3377332
26.3%
Common
ValueCountFrequency (%)
1543390
89.6%
( 59766
 
3.5%
) 59766
 
3.5%
, 59702
 
3.5%
- 209
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13511938
92.7%
None 1067983
 
7.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1861449
13.8%
1543390
11.4%
o 1313664
9.7%
s 1194111
8.8%
a 1188774
8.8%
r 1000733
 
7.4%
i 808668
 
6.0%
t 678682
 
5.0%
d 537124
 
4.0%
c 438919
 
3.2%
Other values (38) 2946424
21.8%
None
ValueCountFrequency (%)
ã 457632
42.9%
ç 366128
34.3%
í 103343
 
9.7%
á 89754
 
8.4%
ê 16895
 
1.6%
ó 12109
 
1.1%
é 7465
 
0.7%
ú 4787
 
0.4%
ô 3518
 
0.3%
â 3183
 
0.3%

TP_GRAU_ACADEMICO
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing309
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.140864432
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:19.717559image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8713558979
Coefficient of variation (CV)0.4070112451
Kurtosis-1.627339182
Mean2.140864432
Median Absolute Deviation (MAD)1
Skewness-0.2762901532
Sum951565
Variance0.7592611009
MonotonicityNot monotonic
2024-07-28T21:09:19.787127image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 204452
46.0%
1 141841
31.9%
2 98184
22.1%
(Missing) 309
 
0.1%
ValueCountFrequency (%)
1 141841
31.9%
2 98184
22.1%
3 204452
46.0%
ValueCountFrequency (%)
3 204452
46.0%
2 98184
22.1%
1 141841
31.9%

IN_GRATUITO
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03609151367
Minimum0
Maximum1
Zeros428733
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:19.869680image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.186518081
Coefficient of variation (CV)5.16792071
Kurtosis22.74505648
Mean0.03609151367
Median Absolute Deviation (MAD)0
Skewness4.974430038
Sum16053
Variance0.03478899453
MonotonicityNot monotonic
2024-07-28T21:09:19.945483image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 428733
96.4%
1 16053
 
3.6%
ValueCountFrequency (%)
0 428733
96.4%
1 16053
 
3.6%
ValueCountFrequency (%)
1 16053
 
3.6%
0 428733
96.4%

TP_MODALIDADE_ENSINO
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.919624269
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:20.014512image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2718743078
Coefficient of variation (CV)0.1416289178
Kurtosis7.52906518
Mean1.919624269
Median Absolute Deviation (MAD)0
Skewness-3.086912912
Sum853822
Variance0.07391563926
MonotonicityNot monotonic
2024-07-28T21:09:20.085788image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 409036
92.0%
1 35750
 
8.0%
ValueCountFrequency (%)
1 35750
 
8.0%
2 409036
92.0%
ValueCountFrequency (%)
2 409036
92.0%
1 35750
 
8.0%

TP_NIVEL_ACADEMICO
Real number (ℝ)

SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.000038221
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:20.163964image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006182172155
Coefficient of variation (CV)0.006181935878
Kurtosis26159.17647
Mean1.000038221
Median Absolute Deviation (MAD)0
Skewness161.7438062
Sum444803
Variance3.821925256 × 10-5
MonotonicityNot monotonic
2024-07-28T21:09:20.243771image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 444769
> 99.9%
2 17
 
< 0.1%
ValueCountFrequency (%)
1 444769
> 99.9%
2 17
 
< 0.1%
ValueCountFrequency (%)
2 17
 
< 0.1%
1 444769
> 99.9%

QT_CURSO
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09690502849
Minimum0
Maximum1
Zeros401684
Zeros (%)90.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:20.318878image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2958287354
Coefficient of variation (CV)3.052769707
Kurtosis5.426759678
Mean0.09690502849
Median Absolute Deviation (MAD)0
Skewness2.725203713
Sum43102
Variance0.0875146407
MonotonicityNot monotonic
2024-07-28T21:09:20.394618image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 401684
90.3%
1 43102
 
9.7%
ValueCountFrequency (%)
0 401684
90.3%
1 43102
 
9.7%
ValueCountFrequency (%)
1 43102
 
9.7%
0 401684
90.3%

QT_VG_TOTAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct2438
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.98870468
Minimum0
Maximum149108
Zeros404267
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:20.484780image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile105
Maximum149108
Range149108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1020.828344
Coefficient of variation (CV)20.02067616
Kurtosis4601.325256
Mean50.98870468
Median Absolute Deviation (MAD)0
Skewness60.49939647
Sum22679062
Variance1042090.509
MonotonicityNot monotonic
2024-07-28T21:09:20.591782image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 404267
90.9%
100 1886
 
0.4%
50 1198
 
0.3%
40 1157
 
0.3%
80 984
 
0.2%
60 944
 
0.2%
200 892
 
0.2%
120 696
 
0.2%
150 545
 
0.1%
110 420
 
0.1%
Other values (2428) 31797
 
7.1%
ValueCountFrequency (%)
0 404267
90.9%
1 261
 
0.1%
2 214
 
< 0.1%
3 142
 
< 0.1%
4 139
 
< 0.1%
ValueCountFrequency (%)
149108 1
< 0.1%
84791 1
< 0.1%
73452 1
< 0.1%
73407 1
< 0.1%
73322 1
< 0.1%

QT_VG_TOTAL_DIURNO
Real number (ℝ)

SKEWED  ZEROS 

Distinct713
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.789422329
Minimum0
Maximum10108
Zeros427186
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:20.697383image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10108
Range10108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.68544185
Coefficient of variation (CV)8.912440566
Kurtosis8633.004031
Mean4.789422329
Median Absolute Deviation (MAD)0
Skewness54.5754058
Sum2130268
Variance1822.046946
MonotonicityNot monotonic
2024-07-28T21:09:20.801270image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 427186
96.0%
50 1094
 
0.2%
40 798
 
0.2%
100 744
 
0.2%
60 495
 
0.1%
80 477
 
0.1%
30 315
 
0.1%
120 299
 
0.1%
20 292
 
0.1%
115 290
 
0.1%
Other values (703) 12796
 
2.9%
ValueCountFrequency (%)
0 427186
96.0%
1 183
 
< 0.1%
2 143
 
< 0.1%
3 75
 
< 0.1%
4 59
 
< 0.1%
ValueCountFrequency (%)
10108 1
< 0.1%
5250 1
< 0.1%
4500 1
< 0.1%
3372 1
< 0.1%
3140 1
< 0.1%

QT_VG_TOTAL_NOTURNO
Real number (ℝ)

SKEWED  ZEROS 

Distinct957
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.570287734
Minimum0
Maximum5100
Zeros418324
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:20.907894image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45
Maximum5100
Range5100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.8708297
Coefficient of variation (CV)6.635813344
Kurtosis939.2006158
Mean8.570287734
Median Absolute Deviation (MAD)0
Skewness21.00640533
Sum3811944
Variance3234.291271
MonotonicityNot monotonic
2024-07-28T21:09:21.029034image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 418324
94.1%
100 1628
 
0.4%
50 1274
 
0.3%
60 824
 
0.2%
80 796
 
0.2%
40 773
 
0.2%
120 599
 
0.1%
110 433
 
0.1%
150 405
 
0.1%
70 374
 
0.1%
Other values (947) 19356
 
4.4%
ValueCountFrequency (%)
0 418324
94.1%
1 202
 
< 0.1%
2 177
 
< 0.1%
3 88
 
< 0.1%
4 82
 
< 0.1%
ValueCountFrequency (%)
5100 1
 
< 0.1%
5054 1
 
< 0.1%
4100 3
< 0.1%
3587 1
 
< 0.1%
3500 1
 
< 0.1%

QT_VG_TOTAL_EAD
Real number (ℝ)

SKEWED  ZEROS 

Distinct2049
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.62899462
Minimum0
Maximum149108
Zeros437573
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:21.329231image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum149108
Range149108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1017.567376
Coefficient of variation (CV)27.04210905
Kurtosis4663.671257
Mean37.62899462
Median Absolute Deviation (MAD)0
Skewness61.10274672
Sum16736850
Variance1035443.364
MonotonicityNot monotonic
2024-07-28T21:09:21.431691image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 437573
98.4%
1000 218
 
< 0.1%
100 156
 
< 0.1%
200 145
 
< 0.1%
300 134
 
< 0.1%
500 88
 
< 0.1%
400 88
 
< 0.1%
150 86
 
< 0.1%
60 70
 
< 0.1%
50 69
 
< 0.1%
Other values (2039) 6159
 
1.4%
ValueCountFrequency (%)
0 437573
98.4%
1 44
 
< 0.1%
2 41
 
< 0.1%
3 31
 
< 0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
149108 1
< 0.1%
84791 1
< 0.1%
73452 1
< 0.1%
73407 1
< 0.1%
73322 1
< 0.1%

QT_VG_NOVA
Real number (ℝ)

SKEWED  ZEROS 

Distinct1221
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.96398043
Minimum0
Maximum74600
Zeros405387
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:21.529305image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile90
Maximum74600
Range74600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation898.1098208
Coefficient of variation (CV)23.65689294
Kurtosis5528.375211
Mean37.96398043
Median Absolute Deviation (MAD)0
Skewness70.16723569
Sum16885847
Variance806601.2501
MonotonicityNot monotonic
2024-07-28T21:09:21.631571image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 405387
91.1%
100 4366
 
1.0%
40 2807
 
0.6%
50 2579
 
0.6%
80 2245
 
0.5%
200 2032
 
0.5%
120 1780
 
0.4%
60 1738
 
0.4%
150 938
 
0.2%
30 858
 
0.2%
Other values (1211) 20056
 
4.5%
ValueCountFrequency (%)
0 405387
91.1%
1 153
 
< 0.1%
2 138
 
< 0.1%
3 109
 
< 0.1%
4 93
 
< 0.1%
ValueCountFrequency (%)
74600 1
 
< 0.1%
73260 53
< 0.1%
48000 5
 
< 0.1%
42400 1
 
< 0.1%
38326 1
 
< 0.1%

QT_VG_PROC_SELETIVO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros444786
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:21.717572image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-07-28T21:09:21.780622image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%

QT_VG_REMANESC
Real number (ℝ)

SKEWED  ZEROS 

Distinct1361
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.83170558
Minimum0
Maximum74508
Zeros414664
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:21.863337image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum74508
Range74508
Interquartile range (IQR)0

Descriptive statistics

Standard deviation306.1469673
Coefficient of variation (CV)23.85863401
Kurtosis16635.92748
Mean12.83170558
Median Absolute Deviation (MAD)0
Skewness100.270263
Sum5707363
Variance93725.96558
MonotonicityNot monotonic
2024-07-28T21:09:21.973237image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 414664
93.2%
10 1783
 
0.4%
1 1743
 
0.4%
5 1293
 
0.3%
20 1283
 
0.3%
2 1256
 
0.3%
3 985
 
0.2%
4 807
 
0.2%
30 770
 
0.2%
50 689
 
0.2%
Other values (1351) 19513
 
4.4%
ValueCountFrequency (%)
0 414664
93.2%
1 1743
 
0.4%
2 1256
 
0.3%
3 985
 
0.2%
4 807
 
0.2%
ValueCountFrequency (%)
74508 1
< 0.1%
58080 1
< 0.1%
49517 1
< 0.1%
48355 1
< 0.1%
42781 1
< 0.1%

QT_VG_PROG_ESPECIAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct134
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1930186652
Minimum0
Maximum2903
Zeros442920
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:22.065911image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2903
Range2903
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.80211615
Coefficient of variation (CV)55.96410139
Kurtosis30570.74079
Mean0.1930186652
Median Absolute Deviation (MAD)0
Skewness154.0837932
Sum85852
Variance116.6857132
MonotonicityNot monotonic
2024-07-28T21:09:22.169852image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 442920
99.6%
10 338
 
0.1%
1 218
 
< 0.1%
5 216
 
< 0.1%
20 139
 
< 0.1%
50 123
 
< 0.1%
2 103
 
< 0.1%
30 66
 
< 0.1%
3 61
 
< 0.1%
40 61
 
< 0.1%
Other values (124) 541
 
0.1%
ValueCountFrequency (%)
0 442920
99.6%
1 218
 
< 0.1%
2 103
 
< 0.1%
3 61
 
< 0.1%
4 52
 
< 0.1%
ValueCountFrequency (%)
2903 1
 
< 0.1%
2500 1
 
< 0.1%
2000 3
< 0.1%
1839 1
 
< 0.1%
1327 1
 
< 0.1%

QT_INSCRITO_TOTAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct2673
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.99573503
Minimum0
Maximum209058
Zeros405945
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:22.267319image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80
Maximum209058
Range209058
Interquartile range (IQR)0

Descriptive statistics

Standard deviation642.9644242
Coefficient of variation (CV)18.91309082
Kurtosis50478.4759
Mean33.99573503
Median Absolute Deviation (MAD)0
Skewness176.916102
Sum15120827
Variance413403.2507
MonotonicityNot monotonic
2024-07-28T21:09:22.359773image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 405945
91.3%
40 670
 
0.2%
20 576
 
0.1%
10 512
 
0.1%
1 506
 
0.1%
50 494
 
0.1%
100 452
 
0.1%
30 432
 
0.1%
80 426
 
0.1%
60 373
 
0.1%
Other values (2663) 34400
 
7.7%
ValueCountFrequency (%)
0 405945
91.3%
1 506
 
0.1%
2 364
 
0.1%
3 288
 
0.1%
4 325
 
0.1%
ValueCountFrequency (%)
209058 1
< 0.1%
204688 1
< 0.1%
88764 1
< 0.1%
74124 1
< 0.1%
72363 1
< 0.1%

QT_INSCRITO_TOTAL_DIURNO
Real number (ℝ)

SKEWED  ZEROS 

Distinct1651
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.85338118
Minimum0
Maximum40554
Zeros428885
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:22.451779image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum40554
Range40554
Interquartile range (IQR)0

Descriptive statistics

Standard deviation176.7107897
Coefficient of variation (CV)16.28163489
Kurtosis12006.71168
Mean10.85338118
Median Absolute Deviation (MAD)0
Skewness79.60989153
Sum4827432
Variance31226.70319
MonotonicityNot monotonic
2024-07-28T21:09:22.565631image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 428885
96.4%
20 472
 
0.1%
40 299
 
0.1%
1 276
 
0.1%
2 216
 
< 0.1%
50 200
 
< 0.1%
15 188
 
< 0.1%
4 178
 
< 0.1%
30 173
 
< 0.1%
10 166
 
< 0.1%
Other values (1641) 13733
 
3.1%
ValueCountFrequency (%)
0 428885
96.4%
1 276
 
0.1%
2 216
 
< 0.1%
3 119
 
< 0.1%
4 178
 
< 0.1%
ValueCountFrequency (%)
40554 1
< 0.1%
33920 1
< 0.1%
23112 1
< 0.1%
20615 1
< 0.1%
17636 1
< 0.1%

QT_INSCRITO_TOTAL_NOTURNO
Real number (ℝ)

SKEWED  ZEROS 

Distinct1269
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5826285
Minimum0
Maximum5287
Zeros420005
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:22.678648image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum5287
Range5287
Interquartile range (IQR)0

Descriptive statistics

Standard deviation72.67747371
Coefficient of variation (CV)8.46797385
Kurtosis780.2240846
Mean8.5826285
Median Absolute Deviation (MAD)0
Skewness21.65653033
Sum3817433
Variance5282.015184
MonotonicityNot monotonic
2024-07-28T21:09:22.780589image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 420005
94.4%
20 551
 
0.1%
40 461
 
0.1%
1 434
 
0.1%
50 418
 
0.1%
10 339
 
0.1%
15 327
 
0.1%
30 319
 
0.1%
60 314
 
0.1%
2 300
 
0.1%
Other values (1259) 21318
 
4.8%
ValueCountFrequency (%)
0 420005
94.4%
1 434
 
0.1%
2 300
 
0.1%
3 237
 
0.1%
4 262
 
0.1%
ValueCountFrequency (%)
5287 1
< 0.1%
5182 1
< 0.1%
4886 1
< 0.1%
4556 1
< 0.1%
4500 1
< 0.1%

QT_INSCRITO_TOTAL_EAD
Real number (ℝ)

SKEWED  ZEROS 

Distinct1637
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.55972535
Minimum0
Maximum209058
Zeros437647
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:22.879784image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum209058
Range209058
Interquartile range (IQR)0

Descriptive statistics

Standard deviation610.6788821
Coefficient of variation (CV)41.94302209
Kurtosis61971.52778
Mean14.55972535
Median Absolute Deviation (MAD)0
Skewness204.5218496
Sum6475962
Variance372928.697
MonotonicityNot monotonic
2024-07-28T21:09:22.979616image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 437647
98.4%
20 215
 
< 0.1%
10 179
 
< 0.1%
30 127
 
< 0.1%
100 118
 
< 0.1%
40 110
 
< 0.1%
50 87
 
< 0.1%
1 59
 
< 0.1%
2 55
 
< 0.1%
60 53
 
< 0.1%
Other values (1627) 6136
 
1.4%
ValueCountFrequency (%)
0 437647
98.4%
1 59
 
< 0.1%
2 55
 
< 0.1%
3 45
 
< 0.1%
4 38
 
< 0.1%
ValueCountFrequency (%)
209058 1
< 0.1%
204688 1
< 0.1%
88764 1
< 0.1%
74124 1
< 0.1%
72363 1
< 0.1%

QT_INSC_VG_NOVA
Real number (ℝ)

SKEWED  ZEROS 

Distinct2534
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.42042241
Minimum0
Maximum208127
Zeros407276
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:23.077615image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile66
Maximum208127
Range208127
Interquartile range (IQR)0

Descriptive statistics

Standard deviation616.2013057
Coefficient of variation (CV)20.25617191
Kurtosis58460.52806
Mean30.42042241
Median Absolute Deviation (MAD)0
Skewness193.8654
Sum13530578
Variance379704.0491
MonotonicityNot monotonic
2024-07-28T21:09:23.182537image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 407276
91.6%
40 955
 
0.2%
10 810
 
0.2%
20 674
 
0.2%
50 653
 
0.1%
100 626
 
0.1%
30 539
 
0.1%
80 429
 
0.1%
60 400
 
0.1%
15 399
 
0.1%
Other values (2524) 32025
 
7.2%
ValueCountFrequency (%)
0 407276
91.6%
1 360
 
0.1%
2 270
 
0.1%
3 234
 
0.1%
4 293
 
0.1%
ValueCountFrequency (%)
208127 1
< 0.1%
204051 1
< 0.1%
84531 1
< 0.1%
73736 1
< 0.1%
65690 1
< 0.1%

QT_INSC_PROC_SELETIVO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros444786
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:23.268960image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-07-28T21:09:23.333447image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%

QT_INSC_VG_REMANESC
Real number (ℝ)

SKEWED  ZEROS 

Distinct793
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.413594403
Minimum0
Maximum14440
Zeros417560
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:23.416243image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum14440
Range14440
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.25834197
Coefficient of variation (CV)18.23835366
Kurtosis12258.47023
Mean3.413594403
Median Absolute Deviation (MAD)0
Skewness86.19711338
Sum1518319
Variance3876.101145
MonotonicityNot monotonic
2024-07-28T21:09:23.516539image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 417560
93.9%
10 2096
 
0.5%
1 1863
 
0.4%
2 1481
 
0.3%
5 1279
 
0.3%
3 1234
 
0.3%
4 1200
 
0.3%
20 1062
 
0.2%
7 821
 
0.2%
6 805
 
0.2%
Other values (783) 15385
 
3.5%
ValueCountFrequency (%)
0 417560
93.9%
1 1863
 
0.4%
2 1481
 
0.3%
3 1234
 
0.3%
4 1200
 
0.3%
ValueCountFrequency (%)
14440 1
< 0.1%
9515 1
< 0.1%
8850 1
< 0.1%
7369 1
< 0.1%
7328 1
< 0.1%

QT_INSC_VG_PROG_ESPECIAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct137
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1617182195
Minimum0
Maximum3000
Zeros443537
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:23.616627image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.11522435
Coefficient of variation (CV)68.7320475
Kurtosis33597.89357
Mean0.1617182195
Median Absolute Deviation (MAD)0
Skewness161.8398675
Sum71930
Variance123.5482123
MonotonicityNot monotonic
2024-07-28T21:09:23.733691image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 443537
99.7%
10 178
 
< 0.1%
1 162
 
< 0.1%
5 97
 
< 0.1%
20 92
 
< 0.1%
2 89
 
< 0.1%
3 47
 
< 0.1%
50 40
 
< 0.1%
4 39
 
< 0.1%
30 36
 
< 0.1%
Other values (127) 469
 
0.1%
ValueCountFrequency (%)
0 443537
99.7%
1 162
 
< 0.1%
2 89
 
< 0.1%
3 47
 
< 0.1%
4 39
 
< 0.1%
ValueCountFrequency (%)
3000 1
 
< 0.1%
2903 1
 
< 0.1%
2000 3
< 0.1%
1839 1
 
< 0.1%
1327 1
 
< 0.1%

QT_ING
Real number (ℝ)

SKEWED  ZEROS 

Distinct690
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.869638433
Minimum0
Maximum3634
Zeros100317
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:23.830449image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile40
Maximum3634
Range3634
Interquartile range (IQR)4

Descriptive statistics

Standard deviation34.43562957
Coefficient of variation (CV)3.882416384
Kurtosis1538.57086
Mean8.869638433
Median Absolute Deviation (MAD)2
Skewness25.78523955
Sum3945091
Variance1185.812584
MonotonicityNot monotonic
2024-07-28T21:09:23.938716image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 118262
26.6%
0 100317
22.6%
2 54529
12.3%
3 31856
 
7.2%
4 20510
 
4.6%
5 14727
 
3.3%
6 10971
 
2.5%
7 8409
 
1.9%
8 6921
 
1.6%
9 5739
 
1.3%
Other values (680) 72545
16.3%
ValueCountFrequency (%)
0 100317
22.6%
1 118262
26.6%
2 54529
12.3%
3 31856
 
7.2%
4 20510
 
4.6%
ValueCountFrequency (%)
3634 1
< 0.1%
3460 1
< 0.1%
3362 1
< 0.1%
3009 1
< 0.1%
2979 1
< 0.1%

QT_ING_FEM
Real number (ℝ)

SKEWED  ZEROS 

Distinct519
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.20986272
Minimum0
Maximum3307
Zeros188518
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:24.034801image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile23
Maximum3307
Range3307
Interquartile range (IQR)3

Descriptive statistics

Standard deviation23.60286204
Coefficient of variation (CV)4.53041919
Kurtosis2993.848712
Mean5.20986272
Median Absolute Deviation (MAD)1
Skewness35.90473562
Sum2317274
Variance557.0950967
MonotonicityNot monotonic
2024-07-28T21:09:24.126750image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 188518
42.4%
1 99397
22.3%
2 40490
 
9.1%
3 22428
 
5.0%
4 14256
 
3.2%
5 9920
 
2.2%
6 7350
 
1.7%
7 5836
 
1.3%
8 4804
 
1.1%
9 3915
 
0.9%
Other values (509) 47872
 
10.8%
ValueCountFrequency (%)
0 188518
42.4%
1 99397
22.3%
2 40490
 
9.1%
3 22428
 
5.0%
4 14256
 
3.2%
ValueCountFrequency (%)
3307 1
< 0.1%
2766 1
< 0.1%
2757 1
< 0.1%
2558 1
< 0.1%
2309 1
< 0.1%

QT_ING_MASC
Real number (ℝ)

SKEWED  ZEROS 

Distinct396
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.659775712
Minimum0
Maximum1430
Zeros199332
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:24.228144image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile16
Maximum1430
Range1430
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.67432544
Coefficient of variation (CV)4.009624249
Kurtosis1230.573165
Mean3.659775712
Median Absolute Deviation (MAD)1
Skewness23.50758857
Sum1627817
Variance215.3358272
MonotonicityNot monotonic
2024-07-28T21:09:24.326232image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 199332
44.8%
1 104273
23.4%
2 40706
 
9.2%
3 21787
 
4.9%
4 13212
 
3.0%
5 9191
 
2.1%
6 6945
 
1.6%
7 5220
 
1.2%
8 4117
 
0.9%
9 3477
 
0.8%
Other values (386) 36526
 
8.2%
ValueCountFrequency (%)
0 199332
44.8%
1 104273
23.4%
2 40706
 
9.2%
3 21787
 
4.9%
4 13212
 
3.0%
ValueCountFrequency (%)
1430 1
< 0.1%
1400 1
< 0.1%
1380 1
< 0.1%
1225 1
< 0.1%
997 1
< 0.1%

QT_ING_DIURNO
Real number (ℝ)

ZEROS 

Distinct342
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.406737172
Minimum0
Maximum890
Zeros430738
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:24.434123image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum890
Range890
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.0663133
Coefficient of variation (CV)8.577517915
Kurtosis597.6075877
Mean1.406737172
Median Absolute Deviation (MAD)0
Skewness18.49328366
Sum625697
Variance145.5959166
MonotonicityNot monotonic
2024-07-28T21:09:24.526331image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 430738
96.8%
1 848
 
0.2%
2 423
 
0.1%
3 328
 
0.1%
40 284
 
0.1%
4 260
 
0.1%
5 233
 
0.1%
41 223
 
0.1%
35 216
 
< 0.1%
30 215
 
< 0.1%
Other values (332) 11018
 
2.5%
ValueCountFrequency (%)
0 430738
96.8%
1 848
 
0.2%
2 423
 
0.1%
3 328
 
0.1%
4 260
 
0.1%
ValueCountFrequency (%)
890 1
< 0.1%
734 1
< 0.1%
727 1
< 0.1%
706 1
< 0.1%
674 1
< 0.1%

QT_ING_NOTURNO
Real number (ℝ)

ZEROS 

Distinct347
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.89309016
Minimum0
Maximum1195
Zeros422319
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:24.618002image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1195
Range1195
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.1620854
Coefficient of variation (CV)6.952698647
Kurtosis652.7812471
Mean1.89309016
Median Absolute Deviation (MAD)0
Skewness17.40097534
Sum842020
Variance173.240492
MonotonicityNot monotonic
2024-07-28T21:09:24.721014image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 422319
94.9%
1 1240
 
0.3%
2 754
 
0.2%
3 620
 
0.1%
4 471
 
0.1%
5 467
 
0.1%
6 427
 
0.1%
12 425
 
0.1%
9 408
 
0.1%
10 397
 
0.1%
Other values (337) 17258
 
3.9%
ValueCountFrequency (%)
0 422319
94.9%
1 1240
 
0.3%
2 754
 
0.2%
3 620
 
0.1%
4 471
 
0.1%
ValueCountFrequency (%)
1195 1
< 0.1%
970 1
< 0.1%
939 1
< 0.1%
863 1
< 0.1%
668 1
< 0.1%

QT_ING_VG_NOVA
Real number (ℝ)

SKEWED  ZEROS 

Distinct613
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.662356729
Minimum0
Maximum3042
Zeros119979
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:24.818028image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile36
Maximum3042
Range3042
Interquartile range (IQR)4

Descriptive statistics

Standard deviation28.99399675
Coefficient of variation (CV)3.783952872
Kurtosis1432.448083
Mean7.662356729
Median Absolute Deviation (MAD)1
Skewness24.43621769
Sum3408109
Variance840.6518477
MonotonicityNot monotonic
2024-07-28T21:09:24.924359image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 119979
27.0%
1 115586
26.0%
2 51735
11.6%
3 29548
 
6.6%
4 19014
 
4.3%
5 13548
 
3.0%
6 9974
 
2.2%
7 7713
 
1.7%
8 6384
 
1.4%
9 5183
 
1.2%
Other values (603) 66122
14.9%
ValueCountFrequency (%)
0 119979
27.0%
1 115586
26.0%
2 51735
11.6%
3 29548
 
6.6%
4 19014
 
4.3%
ValueCountFrequency (%)
3042 1
< 0.1%
2932 1
< 0.1%
2728 1
< 0.1%
2649 1
< 0.1%
2618 1
< 0.1%

QT_ING_VESTIBULAR
Real number (ℝ)

SKEWED  ZEROS 

Distinct564
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.004537013
Minimum0
Maximum3042
Zeros145539
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:25.025384image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile26
Maximum3042
Range3042
Interquartile range (IQR)3

Descriptive statistics

Standard deviation25.258138
Coefficient of variation (CV)4.206508835
Kurtosis2222.600474
Mean6.004537013
Median Absolute Deviation (MAD)1
Skewness30.78424923
Sum2670734
Variance637.9735352
MonotonicityNot monotonic
2024-07-28T21:09:25.119092image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145539
32.7%
1 111250
25.0%
2 49281
 
11.1%
3 27676
 
6.2%
4 17686
 
4.0%
5 12546
 
2.8%
6 9412
 
2.1%
7 7142
 
1.6%
8 5993
 
1.3%
9 4809
 
1.1%
Other values (554) 53452
 
12.0%
ValueCountFrequency (%)
0 145539
32.7%
1 111250
25.0%
2 49281
 
11.1%
3 27676
 
6.2%
4 17686
 
4.0%
ValueCountFrequency (%)
3042 1
< 0.1%
2915 1
< 0.1%
2662 1
< 0.1%
2618 1
< 0.1%
2604 1
< 0.1%

QT_ING_ENEM
Real number (ℝ)

ZEROS 

Distinct270
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.501281515
Minimum0
Maximum997
Zeros355286
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:25.223427image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum997
Range997
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.954555597
Coefficient of variation (CV)5.964607908
Kurtosis925.808785
Mean1.501281515
Median Absolute Deviation (MAD)0
Skewness19.90430701
Sum667749
Variance80.18406594
MonotonicityNot monotonic
2024-07-28T21:09:25.323350image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 355286
79.9%
1 41135
 
9.2%
2 13946
 
3.1%
3 6769
 
1.5%
4 4161
 
0.9%
5 2797
 
0.6%
6 2090
 
0.5%
7 1618
 
0.4%
8 1323
 
0.3%
9 1096
 
0.2%
Other values (260) 14565
 
3.3%
ValueCountFrequency (%)
0 355286
79.9%
1 41135
 
9.2%
2 13946
 
3.1%
3 6769
 
1.5%
4 4161
 
0.9%
ValueCountFrequency (%)
997 1
< 0.1%
810 1
< 0.1%
627 1
< 0.1%
548 1
< 0.1%
500 1
< 0.1%

QT_ING_AVALIACAO_SERIADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct66
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02201957795
Minimum0
Maximum301
Zeros443982
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:25.427467image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum301
Range301
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.013467926
Coefficient of variation (CV)46.02576526
Kurtosis31619.38013
Mean0.02201957795
Median Absolute Deviation (MAD)0
Skewness138.9216869
Sum9794
Variance1.027117237
MonotonicityNot monotonic
2024-07-28T21:09:25.518145image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 443982
99.8%
1 151
 
< 0.1%
2 81
 
< 0.1%
3 60
 
< 0.1%
4 49
 
< 0.1%
6 45
 
< 0.1%
8 37
 
< 0.1%
5 32
 
< 0.1%
9 31
 
< 0.1%
10 30
 
< 0.1%
Other values (56) 288
 
0.1%
ValueCountFrequency (%)
0 443982
99.8%
1 151
 
< 0.1%
2 81
 
< 0.1%
3 60
 
< 0.1%
4 49
 
< 0.1%
ValueCountFrequency (%)
301 1
< 0.1%
257 1
< 0.1%
191 1
< 0.1%
136 1
< 0.1%
99 1
< 0.1%

QT_ING_SELECAO_SIMPLIFICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct233
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6901296354
Minimum0
Maximum1667
Zeros382393
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:25.618349image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum1667
Range1667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.315491003
Coefficient of variation (CV)10.60016934
Kurtosis13830.16085
Mean0.6901296354
Median Absolute Deviation (MAD)0
Skewness85.11343931
Sum306960
Variance53.51640862
MonotonicityNot monotonic
2024-07-28T21:09:25.720692image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 382393
86.0%
1 30849
 
6.9%
2 11025
 
2.5%
3 5426
 
1.2%
4 3151
 
0.7%
5 2081
 
0.5%
6 1425
 
0.3%
7 1038
 
0.2%
8 817
 
0.2%
9 683
 
0.2%
Other values (223) 5898
 
1.3%
ValueCountFrequency (%)
0 382393
86.0%
1 30849
 
6.9%
2 11025
 
2.5%
3 5426
 
1.2%
4 3151
 
0.7%
ValueCountFrequency (%)
1667 1
< 0.1%
1564 1
< 0.1%
997 1
< 0.1%
912 1
< 0.1%
786 1
< 0.1%

QT_ING_EGR
Real number (ℝ)

SKEWED  ZEROS 

Distinct55
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008111766108
Minimum0
Maximum202
Zeros444652
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:25.819444image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum202
Range202
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8559169345
Coefficient of variation (CV)105.5154849
Kurtosis29756.00955
Mean0.008111766108
Median Absolute Deviation (MAD)0
Skewness160.1934947
Sum3608
Variance0.7325937987
MonotonicityNot monotonic
2024-07-28T21:09:26.159726image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 444652
> 99.9%
1 18
 
< 0.1%
2 13
 
< 0.1%
3 11
 
< 0.1%
4 6
 
< 0.1%
9 5
 
< 0.1%
5 4
 
< 0.1%
11 4
 
< 0.1%
22 4
 
< 0.1%
36 4
 
< 0.1%
Other values (45) 65
 
< 0.1%
ValueCountFrequency (%)
0 444652
> 99.9%
1 18
 
< 0.1%
2 13
 
< 0.1%
3 11
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
202 1
< 0.1%
200 1
< 0.1%
182 1
< 0.1%
149 1
< 0.1%
137 1
< 0.1%

QT_ING_OUTRO_TIPO_SELECAO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros444786
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:26.245400image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-07-28T21:09:26.313968image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%

QT_ING_PROC_SELETIVO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros444786
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:26.378644image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-07-28T21:09:26.446364image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%
ValueCountFrequency (%)
0 444786
100.0%

QT_ING_VG_REMANESC
Real number (ℝ)

SKEWED  ZEROS 

Distinct280
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.150908527
Minimum0
Maximum1846
Zeros345445
Zeros (%)77.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:26.534592image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum1846
Range1846
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.988877359
Coefficient of variation (CV)7.81024482
Kurtosis6693.621983
Mean1.150908527
Median Absolute Deviation (MAD)0
Skewness56.04882303
Sum511908
Variance80.79991618
MonotonicityNot monotonic
2024-07-28T21:09:26.649762image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 345445
77.7%
1 49813
 
11.2%
2 15967
 
3.6%
3 8007
 
1.8%
4 4854
 
1.1%
5 3362
 
0.8%
6 2463
 
0.6%
7 1877
 
0.4%
8 1401
 
0.3%
9 1182
 
0.3%
Other values (270) 10415
 
2.3%
ValueCountFrequency (%)
0 345445
77.7%
1 49813
 
11.2%
2 15967
 
3.6%
3 8007
 
1.8%
4 4854
 
1.1%
ValueCountFrequency (%)
1846 1
< 0.1%
1190 1
< 0.1%
1012 1
< 0.1%
870 1
< 0.1%
854 1
< 0.1%

QT_ING_VG_PROG_ESPECIAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04566690498
Minimum0
Maximum240
Zeros439494
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:26.764610image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum240
Range240
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.079295299
Coefficient of variation (CV)23.6340803
Kurtosis15558.37704
Mean0.04566690498
Median Absolute Deviation (MAD)0
Skewness99.97705573
Sum20312
Variance1.164878343
MonotonicityNot monotonic
2024-07-28T21:09:26.867049image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439494
98.8%
1 2309
 
0.5%
2 1051
 
0.2%
3 586
 
0.1%
4 339
 
0.1%
5 231
 
0.1%
6 169
 
< 0.1%
7 100
 
< 0.1%
9 81
 
< 0.1%
8 78
 
< 0.1%
Other values (61) 348
 
0.1%
ValueCountFrequency (%)
0 439494
98.8%
1 2309
 
0.5%
2 1051
 
0.2%
3 586
 
0.1%
4 339
 
0.1%
ValueCountFrequency (%)
240 1
< 0.1%
212 1
< 0.1%
200 1
< 0.1%
147 1
< 0.1%
146 1
< 0.1%

QT_ING_OUTRA_FORMA
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01070627223
Minimum0
Maximum101
Zeros443173
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:26.963294image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum101
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3851131567
Coefficient of variation (CV)35.97079809
Kurtosis17427.06451
Mean0.01070627223
Median Absolute Deviation (MAD)0
Skewness105.6719333
Sum4762
Variance0.1483121435
MonotonicityNot monotonic
2024-07-28T21:09:27.050868image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 443173
99.6%
1 937
 
0.2%
2 251
 
0.1%
3 135
 
< 0.1%
4 76
 
< 0.1%
5 53
 
< 0.1%
6 34
 
< 0.1%
7 17
 
< 0.1%
9 14
 
< 0.1%
8 13
 
< 0.1%
Other values (28) 83
 
< 0.1%
ValueCountFrequency (%)
0 443173
99.6%
1 937
 
0.2%
2 251
 
0.1%
3 135
 
< 0.1%
4 76
 
< 0.1%
ValueCountFrequency (%)
101 1
< 0.1%
54 2
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%

QT_ING_0_17
Real number (ℝ)

SKEWED  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02814162316
Minimum0
Maximum38
Zeros437281
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:27.145378image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3446681924
Coefficient of variation (CV)12.24763015
Kurtosis2305.184966
Mean0.02814162316
Median Absolute Deviation (MAD)0
Skewness36.92989402
Sum12517
Variance0.1187961629
MonotonicityNot monotonic
2024-07-28T21:09:27.242110image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 437281
98.3%
1 5598
 
1.3%
2 1018
 
0.2%
3 363
 
0.1%
4 180
 
< 0.1%
5 94
 
< 0.1%
6 63
 
< 0.1%
7 36
 
< 0.1%
8 33
 
< 0.1%
9 28
 
< 0.1%
Other values (22) 92
 
< 0.1%
ValueCountFrequency (%)
0 437281
98.3%
1 5598
 
1.3%
2 1018
 
0.2%
3 363
 
0.1%
4 180
 
< 0.1%
ValueCountFrequency (%)
38 1
< 0.1%
35 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%
30 1
< 0.1%

QT_ING_18_24
Real number (ℝ)

ZEROS 

Distinct405
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.784012986
Minimum0
Maximum1224
Zeros244363
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:27.334912image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum1224
Range1224
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.93165962
Coefficient of variation (CV)4.210255008
Kurtosis546.6858628
Mean3.784012986
Median Absolute Deviation (MAD)0
Skewness16.03419124
Sum1683076
Variance253.8177784
MonotonicityNot monotonic
2024-07-28T21:09:27.445617image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 244363
54.9%
1 87677
 
19.7%
2 31354
 
7.0%
3 15905
 
3.6%
4 9554
 
2.1%
5 6584
 
1.5%
6 4785
 
1.1%
7 3680
 
0.8%
8 2978
 
0.7%
9 2486
 
0.6%
Other values (395) 35420
 
8.0%
ValueCountFrequency (%)
0 244363
54.9%
1 87677
 
19.7%
2 31354
 
7.0%
3 15905
 
3.6%
4 9554
 
2.1%
ValueCountFrequency (%)
1224 1
< 0.1%
1060 1
< 0.1%
1056 1
< 0.1%
975 1
< 0.1%
918 1
< 0.1%

QT_ING_25_29
Real number (ℝ)

SKEWED  ZEROS 

Distinct228
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.533903945
Minimum0
Maximum755
Zeros275254
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:27.549414image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum755
Range755
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.586914766
Coefficient of variation (CV)4.294215937
Kurtosis2114.204029
Mean1.533903945
Median Absolute Deviation (MAD)0
Skewness31.43916061
Sum682259
Variance43.38744613
MonotonicityNot monotonic
2024-07-28T21:09:27.646917image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 275254
61.9%
1 81991
 
18.4%
2 28748
 
6.5%
3 14738
 
3.3%
4 9502
 
2.1%
5 6567
 
1.5%
6 4811
 
1.1%
7 3638
 
0.8%
8 2835
 
0.6%
9 2341
 
0.5%
Other values (218) 14361
 
3.2%
ValueCountFrequency (%)
0 275254
61.9%
1 81991
 
18.4%
2 28748
 
6.5%
3 14738
 
3.3%
4 9502
 
2.1%
ValueCountFrequency (%)
755 1
< 0.1%
750 1
< 0.1%
669 1
< 0.1%
618 1
< 0.1%
564 1
< 0.1%

QT_ING_30_34
Real number (ℝ)

SKEWED  ZEROS 

Distinct196
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.196292149
Minimum0
Maximum707
Zeros288005
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:27.750358image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum707
Range707
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.25816615
Coefficient of variation (CV)4.395386321
Kurtosis2630.71136
Mean1.196292149
Median Absolute Deviation (MAD)0
Skewness34.83519368
Sum532094
Variance27.64831126
MonotonicityNot monotonic
2024-07-28T21:09:27.851998image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 288005
64.8%
1 81471
 
18.3%
2 27516
 
6.2%
3 13755
 
3.1%
4 8150
 
1.8%
5 5473
 
1.2%
6 3856
 
0.9%
7 2834
 
0.6%
8 2163
 
0.5%
9 1664
 
0.4%
Other values (186) 9899
 
2.2%
ValueCountFrequency (%)
0 288005
64.8%
1 81471
 
18.3%
2 27516
 
6.2%
3 13755
 
3.1%
4 8150
 
1.8%
ValueCountFrequency (%)
707 1
< 0.1%
626 1
< 0.1%
517 1
< 0.1%
515 1
< 0.1%
462 1
< 0.1%

QT_ING_35_39
Real number (ℝ)

SKEWED  ZEROS 

Distinct174
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9783738697
Minimum0
Maximum669
Zeros303584
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:27.956815image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum669
Range669
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.490397787
Coefficient of variation (CV)4.589654248
Kurtosis3126.985461
Mean0.9783738697
Median Absolute Deviation (MAD)0
Skewness37.59105428
Sum435167
Variance20.16367229
MonotonicityNot monotonic
2024-07-28T21:09:28.067310image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 303584
68.3%
1 77143
 
17.3%
2 24983
 
5.6%
3 11911
 
2.7%
4 6981
 
1.6%
5 4490
 
1.0%
6 3103
 
0.7%
7 2189
 
0.5%
8 1658
 
0.4%
9 1279
 
0.3%
Other values (164) 7465
 
1.7%
ValueCountFrequency (%)
0 303584
68.3%
1 77143
 
17.3%
2 24983
 
5.6%
3 11911
 
2.7%
4 6981
 
1.6%
ValueCountFrequency (%)
669 1
< 0.1%
549 1
< 0.1%
469 1
< 0.1%
445 1
< 0.1%
422 1
< 0.1%

QT_ING_40_49
Real number (ℝ)

SKEWED  ZEROS 

Distinct188
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.034931405
Minimum0
Maximum753
Zeros300222
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:28.168997image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum753
Range753
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.988310418
Coefficient of variation (CV)4.819943035
Kurtosis3317.420303
Mean1.034931405
Median Absolute Deviation (MAD)0
Skewness39.16305734
Sum460323
Variance24.88324083
MonotonicityNot monotonic
2024-07-28T21:09:28.264868image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 300222
67.5%
1 78810
 
17.7%
2 25791
 
5.8%
3 12066
 
2.7%
4 7028
 
1.6%
5 4494
 
1.0%
6 3181
 
0.7%
7 2220
 
0.5%
8 1690
 
0.4%
9 1341
 
0.3%
Other values (178) 7943
 
1.8%
ValueCountFrequency (%)
0 300222
67.5%
1 78810
 
17.7%
2 25791
 
5.8%
3 12066
 
2.7%
4 7028
 
1.6%
ValueCountFrequency (%)
753 1
< 0.1%
567 1
< 0.1%
557 1
< 0.1%
553 1
< 0.1%
502 1
< 0.1%

QT_ING_50_59
Real number (ℝ)

SKEWED  ZEROS 

Distinct83
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2694419339
Minimum0
Maximum233
Zeros384088
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:28.381697image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.480317411
Coefficient of variation (CV)5.494012717
Kurtosis2893.180496
Mean0.2694419339
Median Absolute Deviation (MAD)0
Skewness35.60379489
Sum119844
Variance2.191339638
MonotonicityNot monotonic
2024-07-28T21:09:28.482028image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384088
86.4%
1 41572
 
9.3%
2 9597
 
2.2%
3 3682
 
0.8%
4 1837
 
0.4%
5 1093
 
0.2%
6 661
 
0.1%
7 458
 
0.1%
8 345
 
0.1%
9 237
 
0.1%
Other values (73) 1216
 
0.3%
ValueCountFrequency (%)
0 384088
86.4%
1 41572
 
9.3%
2 9597
 
2.2%
3 3682
 
0.8%
4 1837
 
0.4%
ValueCountFrequency (%)
233 1
< 0.1%
162 1
< 0.1%
139 1
< 0.1%
123 1
< 0.1%
121 1
< 0.1%

QT_ING_60_MAIS
Real number (ℝ)

SKEWED  ZEROS 

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04454052061
Minimum0
Maximum41
Zeros430015
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:28.578308image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3371027916
Coefficient of variation (CV)7.568451984
Kurtosis1718.967279
Mean0.04454052061
Median Absolute Deviation (MAD)0
Skewness27.62917249
Sum19811
Variance0.1136382921
MonotonicityNot monotonic
2024-07-28T21:09:28.658997image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 430015
96.7%
1 12299
 
2.8%
2 1550
 
0.3%
3 452
 
0.1%
4 193
 
< 0.1%
5 91
 
< 0.1%
6 46
 
< 0.1%
7 39
 
< 0.1%
8 22
 
< 0.1%
9 18
 
< 0.1%
Other values (18) 61
 
< 0.1%
ValueCountFrequency (%)
0 430015
96.7%
1 12299
 
2.8%
2 1550
 
0.3%
3 452
 
0.1%
4 193
 
< 0.1%
ValueCountFrequency (%)
41 1
< 0.1%
32 1
< 0.1%
30 1
< 0.1%
28 1
< 0.1%
27 1
< 0.1%

QT_ING_BRANCA
Real number (ℝ)

ZEROS 

Distinct393
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.582504845
Minimum0
Maximum1334
Zeros218859
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:28.757051image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile16
Maximum1334
Range1334
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.56185575
Coefficient of variation (CV)4.064713484
Kurtosis819.3815722
Mean3.582504845
Median Absolute Deviation (MAD)1
Skewness19.52247982
Sum1593448
Variance212.0476428
MonotonicityNot monotonic
2024-07-28T21:09:28.870092image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 218859
49.2%
1 94833
21.3%
2 36354
 
8.2%
3 19361
 
4.4%
4 12140
 
2.7%
5 8807
 
2.0%
6 6397
 
1.4%
7 4991
 
1.1%
8 4073
 
0.9%
9 3316
 
0.7%
Other values (383) 35655
 
8.0%
ValueCountFrequency (%)
0 218859
49.2%
1 94833
21.3%
2 36354
 
8.2%
3 19361
 
4.4%
4 12140
 
2.7%
ValueCountFrequency (%)
1334 1
< 0.1%
1107 1
< 0.1%
1073 1
< 0.1%
1069 1
< 0.1%
1025 1
< 0.1%

QT_ING_PRETA
Real number (ℝ)

SKEWED  ZEROS 

Distinct126
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5580346504
Minimum0
Maximum473
Zeros361188
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:28.974286image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum473
Range473
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.965797383
Coefficient of variation (CV)5.314719043
Kurtosis3262.412286
Mean0.5580346504
Median Absolute Deviation (MAD)0
Skewness36.66010603
Sum248206
Variance8.795954116
MonotonicityNot monotonic
2024-07-28T21:09:29.079262image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 361188
81.2%
1 46924
 
10.5%
2 13700
 
3.1%
3 6687
 
1.5%
4 4075
 
0.9%
5 2630
 
0.6%
6 1931
 
0.4%
7 1480
 
0.3%
8 1072
 
0.2%
9 767
 
0.2%
Other values (116) 4332
 
1.0%
ValueCountFrequency (%)
0 361188
81.2%
1 46924
 
10.5%
2 13700
 
3.1%
3 6687
 
1.5%
4 4075
 
0.9%
ValueCountFrequency (%)
473 1
< 0.1%
379 1
< 0.1%
301 1
< 0.1%
269 1
< 0.1%
264 1
< 0.1%

QT_ING_PARDA
Real number (ℝ)

SKEWED  ZEROS 

Distinct326
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.285107895
Minimum0
Maximum1111
Zeros275170
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:29.178205image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile10
Maximum1111
Range1111
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.23309778
Coefficient of variation (CV)4.915784416
Kurtosis1306.435181
Mean2.285107895
Median Absolute Deviation (MAD)0
Skewness25.36338767
Sum1016384
Variance126.1824857
MonotonicityNot monotonic
2024-07-28T21:09:29.278457image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 275170
61.9%
1 79135
 
17.8%
2 26940
 
6.1%
3 13664
 
3.1%
4 8593
 
1.9%
5 5819
 
1.3%
6 4447
 
1.0%
7 3337
 
0.8%
8 2759
 
0.6%
9 2231
 
0.5%
Other values (316) 22691
 
5.1%
ValueCountFrequency (%)
0 275170
61.9%
1 79135
 
17.8%
2 26940
 
6.1%
3 13664
 
3.1%
4 8593
 
1.9%
ValueCountFrequency (%)
1111 1
< 0.1%
1025 1
< 0.1%
984 1
< 0.1%
862 1
< 0.1%
831 1
< 0.1%

QT_ING_AMARELA
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1179263736
Minimum0
Maximum109
Zeros414921
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:29.378137image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum109
Range109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7710905173
Coefficient of variation (CV)6.538745268
Kurtosis2718.344159
Mean0.1179263736
Median Absolute Deviation (MAD)0
Skewness33.69654591
Sum52452
Variance0.5945805858
MonotonicityNot monotonic
2024-07-28T21:09:29.480376image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 414921
93.3%
1 21212
 
4.8%
2 4544
 
1.0%
3 1745
 
0.4%
4 811
 
0.2%
5 483
 
0.1%
6 264
 
0.1%
7 199
 
< 0.1%
8 138
 
< 0.1%
9 90
 
< 0.1%
Other values (39) 379
 
0.1%
ValueCountFrequency (%)
0 414921
93.3%
1 21212
 
4.8%
2 4544
 
1.0%
3 1745
 
0.4%
4 811
 
0.2%
ValueCountFrequency (%)
109 1
< 0.1%
105 1
< 0.1%
66 2
< 0.1%
64 1
< 0.1%
58 1
< 0.1%

QT_ING_INDIGENA
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03283376725
Minimum0
Maximum81
Zeros435214
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:29.573177image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4213052425
Coefficient of variation (CV)12.83146217
Kurtosis10075.31749
Mean0.03283376725
Median Absolute Deviation (MAD)0
Skewness74.82258073
Sum14604
Variance0.1774981073
MonotonicityNot monotonic
2024-07-28T21:09:29.671853image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 435214
97.8%
1 7725
 
1.7%
2 1071
 
0.2%
3 294
 
0.1%
4 156
 
< 0.1%
5 97
 
< 0.1%
6 62
 
< 0.1%
7 31
 
< 0.1%
8 25
 
< 0.1%
9 21
 
< 0.1%
Other values (29) 90
 
< 0.1%
ValueCountFrequency (%)
0 435214
97.8%
1 7725
 
1.7%
2 1071
 
0.2%
3 294
 
0.1%
4 156
 
< 0.1%
ValueCountFrequency (%)
81 1
< 0.1%
74 1
< 0.1%
71 1
< 0.1%
56 1
< 0.1%
50 2
< 0.1%

QT_ING_CORND
Real number (ℝ)

SKEWED  ZEROS 

Distinct380
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.293230902
Minimum0
Maximum1678
Zeros274019
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:29.773194image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum1678
Range1678
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.21732455
Coefficient of variation (CV)5.763625694
Kurtosis2816.801329
Mean2.293230902
Median Absolute Deviation (MAD)0
Skewness37.75409483
Sum1019997
Variance174.6976682
MonotonicityNot monotonic
2024-07-28T21:09:29.871852image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 274019
61.6%
1 77572
 
17.4%
2 28737
 
6.5%
3 14772
 
3.3%
4 9116
 
2.0%
5 6256
 
1.4%
6 4563
 
1.0%
7 3515
 
0.8%
8 2838
 
0.6%
9 2317
 
0.5%
Other values (370) 21081
 
4.7%
ValueCountFrequency (%)
0 274019
61.6%
1 77572
 
17.4%
2 28737
 
6.5%
3 14772
 
3.3%
4 9116
 
2.0%
ValueCountFrequency (%)
1678 1
< 0.1%
1577 1
< 0.1%
1507 1
< 0.1%
1391 1
< 0.1%
1200 1
< 0.1%

QT_MAT
Real number (ℝ)

ZEROS 

Distinct1314
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.20549208
Minimum0
Maximum7900
Zeros77195
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:29.999263image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile98
Maximum7900
Range7900
Interquartile range (IQR)6

Descriptive statistics

Standard deviation85.62147466
Coefficient of variation (CV)4.237534742
Kurtosis894.4328413
Mean20.20549208
Median Absolute Deviation (MAD)2
Skewness19.54260774
Sum8987120
Variance7331.036924
MonotonicityNot monotonic
2024-07-28T21:09:30.108789image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 113721
25.6%
0 77195
17.4%
2 53148
11.9%
3 31624
 
7.1%
4 21344
 
4.8%
5 15587
 
3.5%
6 11812
 
2.7%
7 9393
 
2.1%
8 7590
 
1.7%
9 6367
 
1.4%
Other values (1304) 97005
21.8%
ValueCountFrequency (%)
0 77195
17.4%
1 113721
25.6%
2 53148
11.9%
3 31624
 
7.1%
4 21344
 
4.8%
ValueCountFrequency (%)
7900 1
< 0.1%
7891 1
< 0.1%
6385 1
< 0.1%
5663 1
< 0.1%
5451 1
< 0.1%

QT_MAT_FEM
Real number (ℝ)

SKEWED  ZEROS 

Distinct960
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.80179907
Minimum0
Maximum7437
Zeros167226
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:30.207933image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile54
Maximum7437
Range7437
Interquartile range (IQR)4

Descriptive statistics

Standard deviation56.29523931
Coefficient of variation (CV)4.770055734
Kurtosis1569.343647
Mean11.80179907
Median Absolute Deviation (MAD)1
Skewness24.791549
Sum5249275
Variance3169.153969
MonotonicityNot monotonic
2024-07-28T21:09:30.307671image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167226
37.6%
1 96837
21.8%
2 40882
 
9.2%
3 22863
 
5.1%
4 14879
 
3.3%
5 10738
 
2.4%
6 8011
 
1.8%
7 6467
 
1.5%
8 5351
 
1.2%
9 4365
 
1.0%
Other values (950) 67167
15.1%
ValueCountFrequency (%)
0 167226
37.6%
1 96837
21.8%
2 40882
 
9.2%
3 22863
 
5.1%
4 14879
 
3.3%
ValueCountFrequency (%)
7437 1
< 0.1%
4717 1
< 0.1%
4389 1
< 0.1%
4356 1
< 0.1%
4257 1
< 0.1%

QT_MAT_MASC
Real number (ℝ)

SKEWED  ZEROS 

Distinct735
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.403693012
Minimum0
Maximum4440
Zeros171220
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:30.417161image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile37
Maximum4440
Range4440
Interquartile range (IQR)3

Descriptive statistics

Standard deviation37.52622459
Coefficient of variation (CV)4.465444483
Kurtosis1057.050554
Mean8.403693012
Median Absolute Deviation (MAD)1
Skewness20.1499141
Sum3737845
Variance1408.217532
MonotonicityNot monotonic
2024-07-28T21:09:30.516810image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171220
38.5%
1 102838
23.1%
2 42558
 
9.6%
3 23285
 
5.2%
4 14854
 
3.3%
5 10672
 
2.4%
6 7785
 
1.8%
7 6201
 
1.4%
8 4991
 
1.1%
9 3924
 
0.9%
Other values (725) 56458
 
12.7%
ValueCountFrequency (%)
0 171220
38.5%
1 102838
23.1%
2 42558
 
9.6%
3 23285
 
5.2%
4 14854
 
3.3%
ValueCountFrequency (%)
4440 1
< 0.1%
3511 1
< 0.1%
2507 1
< 0.1%
2278 1
< 0.1%
2160 1
< 0.1%

QT_MAT_DIURNO
Real number (ℝ)

ZEROS 

Distinct904
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.390736219
Minimum0
Maximum3229
Zeros428250
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:30.630644image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3229
Range3229
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.5513456
Coefficient of variation (CV)8.449930352
Kurtosis581.9678455
Mean5.390736219
Median Absolute Deviation (MAD)0
Skewness18.25148184
Sum2397724
Variance2074.925086
MonotonicityNot monotonic
2024-07-28T21:09:30.746294image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 428250
96.3%
1 530
 
0.1%
2 269
 
0.1%
3 201
 
< 0.1%
5 166
 
< 0.1%
4 149
 
< 0.1%
9 145
 
< 0.1%
7 142
 
< 0.1%
12 137
 
< 0.1%
8 133
 
< 0.1%
Other values (894) 14664
 
3.3%
ValueCountFrequency (%)
0 428250
96.3%
1 530
 
0.1%
2 269
 
0.1%
3 201
 
< 0.1%
4 149
 
< 0.1%
ValueCountFrequency (%)
3229 1
< 0.1%
3116 1
< 0.1%
3043 1
< 0.1%
2794 1
< 0.1%
2663 1
< 0.1%

QT_MAT_NOTURNO
Real number (ℝ)

ZEROS 

Distinct800
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.459344494
Minimum0
Maximum4919
Zeros417950
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:30.847847image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17
Maximum4919
Range4919
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.05306702
Coefficient of variation (CV)6.510423319
Kurtosis968.5020826
Mean6.459344494
Median Absolute Deviation (MAD)0
Skewness18.87334023
Sum2873026
Variance1768.460446
MonotonicityNot monotonic
2024-07-28T21:09:30.958022image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 417950
94.0%
1 617
 
0.1%
2 371
 
0.1%
3 310
 
0.1%
5 303
 
0.1%
4 265
 
0.1%
9 258
 
0.1%
14 252
 
0.1%
8 248
 
0.1%
18 243
 
0.1%
Other values (790) 23969
 
5.4%
ValueCountFrequency (%)
0 417950
94.0%
1 617
 
0.1%
2 371
 
0.1%
3 310
 
0.1%
4 265
 
0.1%
ValueCountFrequency (%)
4919 1
< 0.1%
3591 1
< 0.1%
3266 1
< 0.1%
3028 1
< 0.1%
2716 1
< 0.1%

QT_MAT_0_17
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02465680125
Minimum0
Maximum35
Zeros438262
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:31.046868image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.325360124
Coefficient of variation (CV)13.19555285
Kurtosis2604.575655
Mean0.02465680125
Median Absolute Deviation (MAD)0
Skewness39.53746917
Sum10967
Variance0.1058592103
MonotonicityNot monotonic
2024-07-28T21:09:31.133487image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 438262
98.5%
1 4837
 
1.1%
2 904
 
0.2%
3 317
 
0.1%
4 162
 
< 0.1%
5 82
 
< 0.1%
6 53
 
< 0.1%
7 34
 
< 0.1%
8 30
 
< 0.1%
9 22
 
< 0.1%
Other values (19) 83
 
< 0.1%
ValueCountFrequency (%)
0 438262
98.5%
1 4837
 
1.1%
2 904
 
0.2%
3 317
 
0.1%
4 162
 
< 0.1%
ValueCountFrequency (%)
35 2
< 0.1%
34 1
 
< 0.1%
29 2
< 0.1%
28 3
< 0.1%
27 1
 
< 0.1%

QT_MAT_18_24
Real number (ℝ)

ZEROS 

Distinct878
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.195057848
Minimum0
Maximum4684
Zeros234621
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:31.235945image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile42
Maximum4684
Range4684
Interquartile range (IQR)2

Descriptive statistics

Standard deviation47.75405428
Coefficient of variation (CV)5.193447945
Kurtosis937.5381908
Mean9.195057848
Median Absolute Deviation (MAD)0
Skewness19.92166929
Sum4089833
Variance2280.4497
MonotonicityNot monotonic
2024-07-28T21:09:31.329524image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 234621
52.7%
1 85152
 
19.1%
2 31453
 
7.1%
3 16044
 
3.6%
4 9885
 
2.2%
5 6810
 
1.5%
6 4865
 
1.1%
7 3884
 
0.9%
8 3107
 
0.7%
9 2490
 
0.6%
Other values (868) 46475
 
10.4%
ValueCountFrequency (%)
0 234621
52.7%
1 85152
 
19.1%
2 31453
 
7.1%
3 16044
 
3.6%
4 9885
 
2.2%
ValueCountFrequency (%)
4684 1
< 0.1%
4542 1
< 0.1%
3490 1
< 0.1%
3286 1
< 0.1%
3259 1
< 0.1%

QT_MAT_25_29
Real number (ℝ)

SKEWED  ZEROS 

Distinct406
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.881967958
Minimum0
Maximum2047
Zeros250285
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:31.435541image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile19
Maximum2047
Range2047
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.72992803
Coefficient of variation (CV)4.309651242
Kurtosis1232.341241
Mean3.881967958
Median Absolute Deviation (MAD)0
Skewness21.10368092
Sum1726645
Variance279.8904919
MonotonicityNot monotonic
2024-07-28T21:09:31.786113image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 250285
56.3%
1 81390
 
18.3%
2 29252
 
6.6%
3 15149
 
3.4%
4 9533
 
2.1%
5 6785
 
1.5%
6 5088
 
1.1%
7 4058
 
0.9%
8 3292
 
0.7%
9 2797
 
0.6%
Other values (396) 37157
 
8.4%
ValueCountFrequency (%)
0 250285
56.3%
1 81390
 
18.3%
2 29252
 
6.6%
3 15149
 
3.4%
4 9533
 
2.1%
ValueCountFrequency (%)
2047 1
< 0.1%
1529 1
< 0.1%
1455 1
< 0.1%
1389 1
< 0.1%
1080 1
< 0.1%

QT_MAT_30_34
Real number (ℝ)

SKEWED  ZEROS 

Distinct301
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.464223244
Minimum0
Maximum1644
Zeros256651
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:31.882406image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum1644
Range1644
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.66937588
Coefficient of variation (CV)4.329711565
Kurtosis3215.792199
Mean2.464223244
Median Absolute Deviation (MAD)0
Skewness35.08495129
Sum1096052
Variance113.8355817
MonotonicityNot monotonic
2024-07-28T21:09:31.974588image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 256651
57.7%
1 81910
 
18.4%
2 29471
 
6.6%
3 15965
 
3.6%
4 10171
 
2.3%
5 7251
 
1.6%
6 5648
 
1.3%
7 4456
 
1.0%
8 3656
 
0.8%
9 3123
 
0.7%
Other values (291) 26484
 
6.0%
ValueCountFrequency (%)
0 256651
57.7%
1 81910
 
18.4%
2 29471
 
6.6%
3 15965
 
3.6%
4 10171
 
2.3%
ValueCountFrequency (%)
1644 1
< 0.1%
1510 1
< 0.1%
983 1
< 0.1%
965 1
< 0.1%
904 1
< 0.1%

QT_MAT_35_39
Real number (ℝ)

SKEWED  ZEROS 

Distinct272
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.928192434
Minimum0
Maximum1539
Zeros268883
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:32.071038image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum1539
Range1539
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.962334552
Coefficient of variation (CV)4.648049849
Kurtosis4209.194173
Mean1.928192434
Median Absolute Deviation (MAD)0
Skewness41.86257387
Sum857633
Variance80.32344062
MonotonicityNot monotonic
2024-07-28T21:09:32.170777image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 268883
60.5%
1 80146
 
18.0%
2 29253
 
6.6%
3 15516
 
3.5%
4 9768
 
2.2%
5 7018
 
1.6%
6 5079
 
1.1%
7 3916
 
0.9%
8 3249
 
0.7%
9 2584
 
0.6%
Other values (262) 19374
 
4.4%
ValueCountFrequency (%)
0 268883
60.5%
1 80146
 
18.0%
2 29253
 
6.6%
3 15516
 
3.5%
4 9768
 
2.2%
ValueCountFrequency (%)
1539 1
< 0.1%
1137 1
< 0.1%
1033 1
< 0.1%
885 1
< 0.1%
877 1
< 0.1%

QT_MAT_40_49
Real number (ℝ)

SKEWED  ZEROS 

Distinct304
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.051953074
Minimum0
Maximum1756
Zeros262559
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:32.276209image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum1756
Range1756
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.36161787
Coefficient of variation (CV)5.049636854
Kurtosis5221.365861
Mean2.051953074
Median Absolute Deviation (MAD)0
Skewness47.28808017
Sum912680
Variance107.3631248
MonotonicityNot monotonic
2024-07-28T21:09:32.373251image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 262559
59.0%
1 83314
 
18.7%
2 30676
 
6.9%
3 16199
 
3.6%
4 10251
 
2.3%
5 7288
 
1.6%
6 5213
 
1.2%
7 4043
 
0.9%
8 3041
 
0.7%
9 2594
 
0.6%
Other values (294) 19608
 
4.4%
ValueCountFrequency (%)
0 262559
59.0%
1 83314
 
18.7%
2 30676
 
6.9%
3 16199
 
3.6%
4 10251
 
2.3%
ValueCountFrequency (%)
1756 1
< 0.1%
1720 1
< 0.1%
1179 1
< 0.1%
1136 1
< 0.1%
1012 1
< 0.1%

QT_MAT_50_59
Real number (ℝ)

SKEWED  ZEROS 

Distinct142
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5611417626
Minimum0
Maximum652
Zeros356351
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:32.468488image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum652
Range652
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.252054687
Coefficient of variation (CV)5.795424443
Kurtosis6118.158666
Mean0.5611417626
Median Absolute Deviation (MAD)0
Skewness49.73568762
Sum249588
Variance10.57585968
MonotonicityNot monotonic
2024-07-28T21:09:32.569831image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 356351
80.1%
1 51626
 
11.6%
2 15110
 
3.4%
3 6887
 
1.5%
4 3881
 
0.9%
5 2423
 
0.5%
6 1707
 
0.4%
7 1196
 
0.3%
8 935
 
0.2%
9 686
 
0.2%
Other values (132) 3984
 
0.9%
ValueCountFrequency (%)
0 356351
80.1%
1 51626
 
11.6%
2 15110
 
3.4%
3 6887
 
1.5%
4 3881
 
0.9%
ValueCountFrequency (%)
652 1
< 0.1%
458 1
< 0.1%
432 1
< 0.1%
289 1
< 0.1%
250 1
< 0.1%

QT_MAT_60_MAIS
Real number (ℝ)

SKEWED  ZEROS 

Distinct48
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09829895725
Minimum0
Maximum91
Zeros419099
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:32.665478image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum91
Range91
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7031014097
Coefficient of variation (CV)7.152684315
Kurtosis2536.712067
Mean0.09829895725
Median Absolute Deviation (MAD)0
Skewness34.26565241
Sum43722
Variance0.4943515923
MonotonicityNot monotonic
2024-07-28T21:09:32.763408image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 419099
94.2%
1 19019
 
4.3%
2 3442
 
0.8%
3 1387
 
0.3%
4 591
 
0.1%
5 349
 
0.1%
6 227
 
0.1%
7 164
 
< 0.1%
8 105
 
< 0.1%
9 87
 
< 0.1%
Other values (38) 316
 
0.1%
ValueCountFrequency (%)
0 419099
94.2%
1 19019
 
4.3%
2 3442
 
0.8%
3 1387
 
0.3%
4 591
 
0.1%
ValueCountFrequency (%)
91 1
< 0.1%
85 1
< 0.1%
79 1
< 0.1%
64 1
< 0.1%
63 1
< 0.1%

QT_MAT_BRANCA
Real number (ℝ)

SKEWED  ZEROS 

Distinct840
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.834608104
Minimum0
Maximum4392
Zeros183953
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:32.855691image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile38
Maximum4392
Range4392
Interquartile range (IQR)3

Descriptive statistics

Standard deviation43.25781663
Coefficient of variation (CV)4.896404699
Kurtosis1120.692932
Mean8.834608104
Median Absolute Deviation (MAD)1
Skewness22.74038361
Sum3929510
Variance1871.2387
MonotonicityNot monotonic
2024-07-28T21:09:32.958683image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183953
41.4%
1 94872
21.3%
2 38945
 
8.8%
3 21735
 
4.9%
4 14312
 
3.2%
5 10177
 
2.3%
6 7734
 
1.7%
7 6025
 
1.4%
8 4894
 
1.1%
9 4061
 
0.9%
Other values (830) 58078
 
13.1%
ValueCountFrequency (%)
0 183953
41.4%
1 94872
21.3%
2 38945
 
8.8%
3 21735
 
4.9%
4 14312
 
3.2%
ValueCountFrequency (%)
4392 1
< 0.1%
3972 1
< 0.1%
3564 1
< 0.1%
3139 1
< 0.1%
3023 1
< 0.1%

QT_MAT_PRETA
Real number (ℝ)

SKEWED  ZEROS 

Distinct274
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.449310455
Minimum0
Maximum804
Zeros335327
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:33.065526image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum804
Range804
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.168811955
Coefficient of variation (CV)5.636343771
Kurtosis1139.586626
Mean1.449310455
Median Absolute Deviation (MAD)0
Skewness23.93391577
Sum644633
Variance66.72948875
MonotonicityNot monotonic
2024-07-28T21:09:33.186221image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 335327
75.4%
1 51707
 
11.6%
2 16658
 
3.7%
3 8441
 
1.9%
4 5339
 
1.2%
5 3663
 
0.8%
6 2842
 
0.6%
7 2262
 
0.5%
8 1782
 
0.4%
9 1533
 
0.3%
Other values (264) 15232
 
3.4%
ValueCountFrequency (%)
0 335327
75.4%
1 51707
 
11.6%
2 16658
 
3.7%
3 8441
 
1.9%
4 5339
 
1.2%
ValueCountFrequency (%)
804 1
< 0.1%
678 1
< 0.1%
675 1
< 0.1%
671 1
< 0.1%
591 1
< 0.1%

QT_MAT_PARDA
Real number (ℝ)

ZEROS 

Distinct667
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.019099072
Minimum0
Maximum2648
Zeros240539
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:33.324571image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile25
Maximum2648
Range2648
Interquartile range (IQR)2

Descriptive statistics

Standard deviation30.82087177
Coefficient of variation (CV)5.120512456
Kurtosis773.9306959
Mean6.019099072
Median Absolute Deviation (MAD)0
Skewness19.70341213
Sum2677211
Variance949.9261368
MonotonicityNot monotonic
2024-07-28T21:09:33.434364image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 240539
54.1%
1 82355
 
18.5%
2 30276
 
6.8%
3 16072
 
3.6%
4 10193
 
2.3%
5 7272
 
1.6%
6 5455
 
1.2%
7 4246
 
1.0%
8 3389
 
0.8%
9 2841
 
0.6%
Other values (657) 42148
 
9.5%
ValueCountFrequency (%)
0 240539
54.1%
1 82355
 
18.5%
2 30276
 
6.8%
3 16072
 
3.6%
4 10193
 
2.3%
ValueCountFrequency (%)
2648 1
< 0.1%
2171 1
< 0.1%
2153 1
< 0.1%
2035 1
< 0.1%
1941 1
< 0.1%

QT_MAT_AMARELA
Real number (ℝ)

SKEWED  ZEROS 

Distinct112
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3139419856
Minimum0
Maximum481
Zeros395862
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:33.529282image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum481
Range481
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.366309865
Coefficient of variation (CV)7.537411286
Kurtosis8155.449533
Mean0.3139419856
Median Absolute Deviation (MAD)0
Skewness61.25266148
Sum139637
Variance5.599422379
MonotonicityNot monotonic
2024-07-28T21:09:33.633371image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395862
89.0%
1 28061
 
6.3%
2 8041
 
1.8%
3 3934
 
0.9%
4 2371
 
0.5%
5 1523
 
0.3%
6 1044
 
0.2%
7 684
 
0.2%
8 523
 
0.1%
9 465
 
0.1%
Other values (102) 2278
 
0.5%
ValueCountFrequency (%)
0 395862
89.0%
1 28061
 
6.3%
2 8041
 
1.8%
3 3934
 
0.9%
4 2371
 
0.5%
ValueCountFrequency (%)
481 1
< 0.1%
366 1
< 0.1%
341 1
< 0.1%
310 1
< 0.1%
307 1
< 0.1%

QT_MAT_INDIGENA
Real number (ℝ)

SKEWED  ZEROS 

Distinct100
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1039870859
Minimum0
Maximum364
Zeros426987
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:33.731892image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum364
Range364
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.688638479
Coefficient of variation (CV)16.2389249
Kurtosis11320.4077
Mean0.1039870859
Median Absolute Deviation (MAD)0
Skewness83.47043558
Sum46252
Variance2.851499914
MonotonicityNot monotonic
2024-07-28T21:09:33.838012image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 426987
96.0%
1 12138
 
2.7%
2 2604
 
0.6%
3 947
 
0.2%
4 562
 
0.1%
5 304
 
0.1%
6 209
 
< 0.1%
7 170
 
< 0.1%
8 128
 
< 0.1%
9 107
 
< 0.1%
Other values (90) 630
 
0.1%
ValueCountFrequency (%)
0 426987
96.0%
1 12138
 
2.7%
2 2604
 
0.6%
3 947
 
0.2%
4 562
 
0.1%
ValueCountFrequency (%)
364 1
< 0.1%
259 1
< 0.1%
258 1
< 0.1%
237 1
< 0.1%
231 1
< 0.1%

QT_MAT_CORND
Real number (ℝ)

SKEWED  ZEROS 

Distinct546
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.484545377
Minimum0
Maximum2145
Zeros271592
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:33.945697image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum2145
Range2145
Interquartile range (IQR)1

Descriptive statistics

Standard deviation21.38035973
Coefficient of variation (CV)6.135767343
Kurtosis1268.710329
Mean3.484545377
Median Absolute Deviation (MAD)0
Skewness26.00636441
Sum1549877
Variance457.1197821
MonotonicityNot monotonic
2024-07-28T21:09:34.044279image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 271592
61.1%
1 75088
 
16.9%
2 27546
 
6.2%
3 14426
 
3.2%
4 9016
 
2.0%
5 6259
 
1.4%
6 4543
 
1.0%
7 3649
 
0.8%
8 2937
 
0.7%
9 2427
 
0.5%
Other values (536) 27303
 
6.1%
ValueCountFrequency (%)
0 271592
61.1%
1 75088
 
16.9%
2 27546
 
6.2%
3 14426
 
3.2%
4 9016
 
2.0%
ValueCountFrequency (%)
2145 1
< 0.1%
1975 1
< 0.1%
1553 1
< 0.1%
1518 1
< 0.1%
1454 1
< 0.1%

QT_CONC
Real number (ℝ)

SKEWED  ZEROS 

Distinct398
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.984187902
Minimum0
Maximum2515
Zeros329174
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:34.136737image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum2515
Range2515
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.6957517
Coefficient of variation (CV)5.259639209
Kurtosis2311.966891
Mean2.984187902
Median Absolute Deviation (MAD)0
Skewness28.1674382
Sum1327325
Variance246.3566213
MonotonicityNot monotonic
2024-07-28T21:09:34.240787image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 329174
74.0%
1 40130
 
9.0%
2 16125
 
3.6%
3 8939
 
2.0%
4 5743
 
1.3%
5 4199
 
0.9%
6 3311
 
0.7%
7 2722
 
0.6%
8 2210
 
0.5%
9 2014
 
0.5%
Other values (388) 30219
 
6.8%
ValueCountFrequency (%)
0 329174
74.0%
1 40130
 
9.0%
2 16125
 
3.6%
3 8939
 
2.0%
4 5743
 
1.3%
ValueCountFrequency (%)
2515 1
< 0.1%
1384 1
< 0.1%
1235 1
< 0.1%
1192 1
< 0.1%
1151 1
< 0.1%

QT_CONC_FEM
Real number (ℝ)

SKEWED  ZEROS 

Distinct309
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.819292873
Minimum0
Maximum2311
Zeros358969
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:34.331975image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum2311
Range2311
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.11024839
Coefficient of variation (CV)6.106904804
Kurtosis5362.825814
Mean1.819292873
Median Absolute Deviation (MAD)0
Skewness41.64531516
Sum809196
Variance123.4376193
MonotonicityNot monotonic
2024-07-28T21:09:34.423359image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 358969
80.7%
1 31544
 
7.1%
2 11595
 
2.6%
3 6753
 
1.5%
4 4403
 
1.0%
5 3276
 
0.7%
6 2571
 
0.6%
7 2202
 
0.5%
8 1891
 
0.4%
9 1644
 
0.4%
Other values (299) 19938
 
4.5%
ValueCountFrequency (%)
0 358969
80.7%
1 31544
 
7.1%
2 11595
 
2.6%
3 6753
 
1.5%
4 4403
 
1.0%
ValueCountFrequency (%)
2311 1
< 0.1%
1050 1
< 0.1%
1039 1
< 0.1%
976 1
< 0.1%
950 1
< 0.1%

QT_CONC_MASC
Real number (ℝ)

SKEWED  ZEROS 

Distinct217
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.164895028
Minimum0
Maximum517
Zeros361050
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:34.520721image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum517
Range517
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.29965712
Coefficient of variation (CV)5.407918283
Kurtosis843.9867259
Mean1.164895028
Median Absolute Deviation (MAD)0
Skewness20.43360835
Sum518129
Variance39.68567983
MonotonicityNot monotonic
2024-07-28T21:09:34.627843image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 361050
81.2%
1 34172
 
7.7%
2 12712
 
2.9%
3 6846
 
1.5%
4 4651
 
1.0%
5 3508
 
0.8%
6 2734
 
0.6%
7 2109
 
0.5%
8 1877
 
0.4%
9 1566
 
0.4%
Other values (207) 13561
 
3.0%
ValueCountFrequency (%)
0 361050
81.2%
1 34172
 
7.7%
2 12712
 
2.9%
3 6846
 
1.5%
4 4651
 
1.0%
ValueCountFrequency (%)
517 1
< 0.1%
476 1
< 0.1%
452 1
< 0.1%
422 1
< 0.1%
414 1
< 0.1%

QT_CONC_DIURNO
Real number (ℝ)

SKEWED  ZEROS 

Distinct240
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7318036089
Minimum0
Maximum917
Zeros432318
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:34.721837image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum917
Range917
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.112286338
Coefficient of variation (CV)9.718845673
Kurtosis1398.620629
Mean0.7318036089
Median Absolute Deviation (MAD)0
Skewness25.27009011
Sum325496
Variance50.58461696
MonotonicityNot monotonic
2024-07-28T21:09:34.815367image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 432318
97.2%
1 697
 
0.2%
2 514
 
0.1%
3 431
 
0.1%
4 421
 
0.1%
6 411
 
0.1%
5 396
 
0.1%
7 386
 
0.1%
8 372
 
0.1%
9 368
 
0.1%
Other values (230) 8472
 
1.9%
ValueCountFrequency (%)
0 432318
97.2%
1 697
 
0.2%
2 514
 
0.1%
3 431
 
0.1%
4 421
 
0.1%
ValueCountFrequency (%)
917 1
< 0.1%
565 1
< 0.1%
535 1
< 0.1%
468 2
< 0.1%
463 1
< 0.1%

QT_CONC_NOTURNO
Real number (ℝ)

ZEROS 

Distinct250
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.161655268
Minimum0
Maximum650
Zeros423581
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:34.908358image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum650
Range650
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.186408492
Coefficient of variation (CV)7.047192672
Kurtosis508.9316284
Mean1.161655268
Median Absolute Deviation (MAD)0
Skewness16.15185835
Sum516688
Variance67.017284
MonotonicityNot monotonic
2024-07-28T21:09:35.004629image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 423581
95.2%
1 1062
 
0.2%
2 809
 
0.2%
6 735
 
0.2%
5 731
 
0.2%
4 708
 
0.2%
3 675
 
0.2%
7 669
 
0.2%
10 650
 
0.1%
8 642
 
0.1%
Other values (240) 14524
 
3.3%
ValueCountFrequency (%)
0 423581
95.2%
1 1062
 
0.2%
2 809
 
0.2%
3 675
 
0.2%
4 708
 
0.2%
ValueCountFrequency (%)
650 1
< 0.1%
573 1
< 0.1%
456 1
< 0.1%
445 1
< 0.1%
443 1
< 0.1%

QT_CONC_0_17
Real number (ℝ)

SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.993088811 × 10-6
Minimum0
Maximum1
Zeros444782
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:35.099627image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002998837801
Coefficient of variation (CV)333.4602675
Kurtosis111192.75
Mean8.993088811 × 10-6
Median Absolute Deviation (MAD)0
Skewness333.4580183
Sum4
Variance8.993028154 × 10-6
MonotonicityNot monotonic
2024-07-28T21:09:35.169761image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 444782
> 99.9%
1 4
 
< 0.1%
ValueCountFrequency (%)
0 444782
> 99.9%
1 4
 
< 0.1%
ValueCountFrequency (%)
1 4
 
< 0.1%
0 444782
> 99.9%

QT_CONC_18_24
Real number (ℝ)

SKEWED  ZEROS 

Distinct225
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.037968821
Minimum0
Maximum759
Zeros392085
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:35.251576image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum759
Range759
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.675033196
Coefficient of variation (CV)6.430860987
Kurtosis1218.283954
Mean1.037968821
Median Absolute Deviation (MAD)0
Skewness23.55445618
Sum461674
Variance44.55606817
MonotonicityNot monotonic
2024-07-28T21:09:35.351638image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 392085
88.2%
1 18899
 
4.2%
2 6187
 
1.4%
3 3575
 
0.8%
4 2645
 
0.6%
5 2085
 
0.5%
6 1844
 
0.4%
7 1592
 
0.4%
8 1281
 
0.3%
9 1213
 
0.3%
Other values (215) 13380
 
3.0%
ValueCountFrequency (%)
0 392085
88.2%
1 18899
 
4.2%
2 6187
 
1.4%
3 3575
 
0.8%
4 2645
 
0.6%
ValueCountFrequency (%)
759 1
< 0.1%
528 1
< 0.1%
527 1
< 0.1%
500 1
< 0.1%
460 1
< 0.1%

QT_CONC_25_29
Real number (ℝ)

SKEWED  ZEROS 

Distinct154
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7527867334
Minimum0
Maximum431
Zeros384236
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:35.456952image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum431
Range431
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.235494518
Coefficient of variation (CV)5.626420246
Kurtosis1018.070023
Mean0.7527867334
Median Absolute Deviation (MAD)0
Skewness20.79594688
Sum334829
Variance17.93941381
MonotonicityNot monotonic
2024-07-28T21:09:35.554801image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384236
86.4%
1 24103
 
5.4%
2 8744
 
2.0%
3 5187
 
1.2%
4 3691
 
0.8%
5 2843
 
0.6%
6 2199
 
0.5%
7 1763
 
0.4%
8 1544
 
0.3%
9 1205
 
0.3%
Other values (144) 9271
 
2.1%
ValueCountFrequency (%)
0 384236
86.4%
1 24103
 
5.4%
2 8744
 
2.0%
3 5187
 
1.2%
4 3691
 
0.8%
ValueCountFrequency (%)
431 1
< 0.1%
393 1
< 0.1%
340 1
< 0.1%
320 1
< 0.1%
300 1
< 0.1%

QT_CONC_30_34
Real number (ℝ)

SKEWED  ZEROS 

Distinct105
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4144015324
Minimum0
Maximum573
Zeros387593
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:35.645680image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum573
Range573
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.469516939
Coefficient of variation (CV)5.959236985
Kurtosis8337.635214
Mean0.4144015324
Median Absolute Deviation (MAD)0
Skewness54.2221978
Sum184320
Variance6.09851391
MonotonicityNot monotonic
2024-07-28T21:09:35.746000image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 387593
87.1%
1 27755
 
6.2%
2 10365
 
2.3%
3 5464
 
1.2%
4 3390
 
0.8%
5 2354
 
0.5%
6 1666
 
0.4%
7 1196
 
0.3%
8 936
 
0.2%
9 663
 
0.1%
Other values (95) 3404
 
0.8%
ValueCountFrequency (%)
0 387593
87.1%
1 27755
 
6.2%
2 10365
 
2.3%
3 5464
 
1.2%
4 3390
 
0.8%
ValueCountFrequency (%)
573 1
< 0.1%
282 1
< 0.1%
281 1
< 0.1%
251 1
< 0.1%
217 1
< 0.1%

QT_CONC_35_39
Real number (ℝ)

SKEWED  ZEROS 

Distinct100
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3170221185
Minimum0
Maximum528
Zeros393659
Zeros (%)88.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:35.846036image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum528
Range528
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.06067712
Coefficient of variation (CV)6.500105197
Kurtosis11466.18287
Mean0.3170221185
Median Absolute Deviation (MAD)0
Skewness64.19537261
Sum141007
Variance4.246390193
MonotonicityNot monotonic
2024-07-28T21:09:35.953815image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393659
88.5%
1 27824
 
6.3%
2 9149
 
2.1%
3 4653
 
1.0%
4 2634
 
0.6%
5 1680
 
0.4%
6 1158
 
0.3%
7 802
 
0.2%
8 605
 
0.1%
9 465
 
0.1%
Other values (90) 2157
 
0.5%
ValueCountFrequency (%)
0 393659
88.5%
1 27824
 
6.3%
2 9149
 
2.1%
3 4653
 
1.0%
4 2634
 
0.6%
ValueCountFrequency (%)
528 1
< 0.1%
238 1
< 0.1%
204 1
< 0.1%
201 1
< 0.1%
198 1
< 0.1%

QT_CONC_40_49
Real number (ℝ)

SKEWED  ZEROS 

Distinct113
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3444375497
Minimum0
Maximum597
Zeros391852
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:36.057107image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum597
Range597
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.335800445
Coefficient of variation (CV)6.781491875
Kurtosis11470.83325
Mean0.3444375497
Median Absolute Deviation (MAD)0
Skewness64.21630508
Sum153201
Variance5.455963719
MonotonicityNot monotonic
2024-07-28T21:09:36.155995image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 391852
88.1%
1 28945
 
6.5%
2 9476
 
2.1%
3 4526
 
1.0%
4 2621
 
0.6%
5 1704
 
0.4%
6 1107
 
0.2%
7 822
 
0.2%
8 659
 
0.1%
9 491
 
0.1%
Other values (103) 2583
 
0.6%
ValueCountFrequency (%)
0 391852
88.1%
1 28945
 
6.5%
2 9476
 
2.1%
3 4526
 
1.0%
4 2621
 
0.6%
ValueCountFrequency (%)
597 1
< 0.1%
326 1
< 0.1%
220 1
< 0.1%
219 1
< 0.1%
180 1
< 0.1%

QT_CONC_50_59
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1002931747
Minimum0
Maximum171
Zeros421149
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:36.260173image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum171
Range171
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7571416881
Coefficient of variation (CV)7.549284289
Kurtosis6772.268224
Mean0.1002931747
Median Absolute Deviation (MAD)0
Skewness46.48965942
Sum44609
Variance0.5732635358
MonotonicityNot monotonic
2024-07-28T21:09:36.358089image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 421149
94.7%
1 15971
 
3.6%
2 3832
 
0.9%
3 1579
 
0.4%
4 783
 
0.2%
5 463
 
0.1%
6 249
 
0.1%
7 174
 
< 0.1%
8 122
 
< 0.1%
9 100
 
< 0.1%
Other values (36) 364
 
0.1%
ValueCountFrequency (%)
0 421149
94.7%
1 15971
 
3.6%
2 3832
 
0.9%
3 1579
 
0.4%
4 783
 
0.2%
ValueCountFrequency (%)
171 1
< 0.1%
75 1
< 0.1%
62 1
< 0.1%
49 1
< 0.1%
48 2
< 0.1%

QT_CONC_60_MAIS
Real number (ℝ)

SKEWED  ZEROS 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01726897879
Minimum0
Maximum21
Zeros438951
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:36.444062image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1871722704
Coefficient of variation (CV)10.83864151
Kurtosis1183.298704
Mean0.01726897879
Median Absolute Deviation (MAD)0
Skewness24.11716041
Sum7681
Variance0.0350334588
MonotonicityNot monotonic
2024-07-28T21:09:36.781768image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 438951
98.7%
1 4806
 
1.1%
2 660
 
0.1%
3 204
 
< 0.1%
4 73
 
< 0.1%
5 29
 
< 0.1%
6 22
 
< 0.1%
8 14
 
< 0.1%
7 12
 
< 0.1%
12 4
 
< 0.1%
Other values (6) 11
 
< 0.1%
ValueCountFrequency (%)
0 438951
98.7%
1 4806
 
1.1%
2 660
 
0.1%
3 204
 
< 0.1%
4 73
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
12 4
< 0.1%
11 2
< 0.1%

QT_CONC_BRANCA
Real number (ℝ)

SKEWED  ZEROS 

Distinct258
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.373215434
Minimum0
Maximum1257
Zeros360382
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:36.871204image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum1257
Range1257
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.209727826
Coefficient of variation (CV)5.978470401
Kurtosis2455.951666
Mean1.373215434
Median Absolute Deviation (MAD)0
Skewness31.3313877
Sum610787
Variance67.39963098
MonotonicityNot monotonic
2024-07-28T21:09:36.989250image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 360382
81.0%
1 33239
 
7.5%
2 12476
 
2.8%
3 6863
 
1.5%
4 4565
 
1.0%
5 3443
 
0.8%
6 2702
 
0.6%
7 2096
 
0.5%
8 1814
 
0.4%
9 1598
 
0.4%
Other values (248) 15608
 
3.5%
ValueCountFrequency (%)
0 360382
81.0%
1 33239
 
7.5%
2 12476
 
2.8%
3 6863
 
1.5%
4 4565
 
1.0%
ValueCountFrequency (%)
1257 1
< 0.1%
849 1
< 0.1%
780 1
< 0.1%
696 1
< 0.1%
621 1
< 0.1%

QT_CONC_PRETA
Real number (ℝ)

SKEWED  ZEROS 

Distinct79
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2055842585
Minimum0
Maximum209
Zeros412042
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:37.091234image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum209
Range209
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.454333249
Coefficient of variation (CV)7.074146918
Kurtosis2439.840776
Mean0.2055842585
Median Absolute Deviation (MAD)0
Skewness32.04952133
Sum91441
Variance2.115085198
MonotonicityNot monotonic
2024-07-28T21:09:37.200505image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 412042
92.6%
1 17479
 
3.9%
2 5830
 
1.3%
3 3015
 
0.7%
4 1774
 
0.4%
5 1158
 
0.3%
6 763
 
0.2%
7 560
 
0.1%
8 427
 
0.1%
9 298
 
0.1%
Other values (69) 1440
 
0.3%
ValueCountFrequency (%)
0 412042
92.6%
1 17479
 
3.9%
2 5830
 
1.3%
3 3015
 
0.7%
4 1774
 
0.4%
ValueCountFrequency (%)
209 1
< 0.1%
173 1
< 0.1%
156 1
< 0.1%
114 1
< 0.1%
102 1
< 0.1%

QT_CONC_PARDA
Real number (ℝ)

SKEWED  ZEROS 

Distinct210
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9282239099
Minimum0
Maximum877
Zeros378393
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:37.318136image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum877
Range877
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.039786911
Coefficient of variation (CV)6.506821087
Kurtosis2246.510872
Mean0.9282239099
Median Absolute Deviation (MAD)0
Skewness30.69963167
Sum412861
Variance36.47902593
MonotonicityNot monotonic
2024-07-28T21:09:37.410114image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 378393
85.1%
1 27459
 
6.2%
2 9837
 
2.2%
3 5561
 
1.3%
4 3656
 
0.8%
5 2706
 
0.6%
6 2161
 
0.5%
7 1795
 
0.4%
8 1423
 
0.3%
9 1177
 
0.3%
Other values (200) 10618
 
2.4%
ValueCountFrequency (%)
0 378393
85.1%
1 27459
 
6.2%
2 9837
 
2.2%
3 5561
 
1.3%
4 3656
 
0.8%
ValueCountFrequency (%)
877 1
< 0.1%
652 1
< 0.1%
575 1
< 0.1%
528 1
< 0.1%
426 1
< 0.1%

QT_CONC_AMARELA
Real number (ℝ)

SKEWED  ZEROS 

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05296704483
Minimum0
Maximum178
Zeros431423
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:37.504169image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum178
Range178
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5574096411
Coefficient of variation (CV)10.52370664
Kurtosis27577.60783
Mean0.05296704483
Median Absolute Deviation (MAD)0
Skewness106.37095
Sum23559
Variance0.310705508
MonotonicityNot monotonic
2024-07-28T21:09:37.605145image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 431423
97.0%
1 9293
 
2.1%
2 2186
 
0.5%
3 781
 
0.2%
4 422
 
0.1%
5 214
 
< 0.1%
6 141
 
< 0.1%
7 69
 
< 0.1%
8 66
 
< 0.1%
9 44
 
< 0.1%
Other values (29) 147
 
< 0.1%
ValueCountFrequency (%)
0 431423
97.0%
1 9293
 
2.1%
2 2186
 
0.5%
3 781
 
0.2%
4 422
 
0.1%
ValueCountFrequency (%)
178 1
< 0.1%
111 1
< 0.1%
51 1
< 0.1%
46 1
< 0.1%
37 1
< 0.1%

QT_CONC_INDIGENA
Real number (ℝ)

SKEWED  ZEROS 

Distinct52
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01974882303
Minimum0
Maximum153
Zeros440953
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:37.703200image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum153
Range153
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6043234602
Coefficient of variation (CV)30.6004798
Kurtosis19415.0913
Mean0.01974882303
Median Absolute Deviation (MAD)0
Skewness112.7644878
Sum8784
Variance0.3652068445
MonotonicityNot monotonic
2024-07-28T21:09:37.813416image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 440953
99.1%
1 2959
 
0.7%
2 393
 
0.1%
3 149
 
< 0.1%
4 60
 
< 0.1%
5 46
 
< 0.1%
6 35
 
< 0.1%
7 27
 
< 0.1%
8 17
 
< 0.1%
9 14
 
< 0.1%
Other values (42) 133
 
< 0.1%
ValueCountFrequency (%)
0 440953
99.1%
1 2959
 
0.7%
2 393
 
0.1%
3 149
 
< 0.1%
4 60
 
< 0.1%
ValueCountFrequency (%)
153 1
< 0.1%
128 1
< 0.1%
97 1
< 0.1%
93 1
< 0.1%
74 2
< 0.1%

QT_CONC_CORND
Real number (ℝ)

SKEWED  ZEROS 

Distinct162
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4044484314
Minimum0
Maximum365
Zeros409204
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:37.914836image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum365
Range365
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.77145747
Coefficient of variation (CV)9.324940283
Kurtosis1383.612258
Mean0.4044484314
Median Absolute Deviation (MAD)0
Skewness28.27660995
Sum179893
Variance14.22389145
MonotonicityNot monotonic
2024-07-28T21:09:38.011693image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 409204
92.0%
1 17766
 
4.0%
2 5639
 
1.3%
3 2736
 
0.6%
4 1755
 
0.4%
5 1218
 
0.3%
6 879
 
0.2%
7 693
 
0.2%
8 530
 
0.1%
9 454
 
0.1%
Other values (152) 3912
 
0.9%
ValueCountFrequency (%)
0 409204
92.0%
1 17766
 
4.0%
2 5639
 
1.3%
3 2736
 
0.6%
4 1755
 
0.4%
ValueCountFrequency (%)
365 1
< 0.1%
332 1
< 0.1%
316 1
< 0.1%
313 1
< 0.1%
302 1
< 0.1%

QT_ING_NACBRAS
Real number (ℝ)

SKEWED  ZEROS 

Distinct692
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.855883504
Minimum0
Maximum3630
Zeros100453
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:38.111138image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile40
Maximum3630
Range3630
Interquartile range (IQR)4

Descriptive statistics

Standard deviation34.38757038
Coefficient of variation (CV)3.883019731
Kurtosis1541.722725
Mean8.855883504
Median Absolute Deviation (MAD)2
Skewness25.80908985
Sum3938973
Variance1182.504997
MonotonicityNot monotonic
2024-07-28T21:09:38.209716image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 118238
26.6%
0 100453
22.6%
2 54510
12.3%
3 31844
 
7.2%
4 20489
 
4.6%
5 14733
 
3.3%
6 10966
 
2.5%
7 8419
 
1.9%
8 6902
 
1.6%
9 5734
 
1.3%
Other values (682) 72498
16.3%
ValueCountFrequency (%)
0 100453
22.6%
1 118238
26.6%
2 54510
12.3%
3 31844
 
7.2%
4 20489
 
4.6%
ValueCountFrequency (%)
3630 1
< 0.1%
3457 1
< 0.1%
3359 1
< 0.1%
3009 1
< 0.1%
2979 1
< 0.1%

QT_ING_NACESTRANG
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01375492934
Minimum0
Maximum65
Zeros440496
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:38.300663image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2592655979
Coefficient of variation (CV)18.84892256
Kurtosis19165.74841
Mean0.01375492934
Median Absolute Deviation (MAD)0
Skewness102.1689202
Sum6118
Variance0.06721865023
MonotonicityNot monotonic
2024-07-28T21:09:38.392225image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 440496
99.0%
1 3609
 
0.8%
2 452
 
0.1%
3 98
 
< 0.1%
4 34
 
< 0.1%
5 17
 
< 0.1%
6 17
 
< 0.1%
7 7
 
< 0.1%
9 7
 
< 0.1%
20 5
 
< 0.1%
Other values (16) 44
 
< 0.1%
ValueCountFrequency (%)
0 440496
99.0%
1 3609
 
0.8%
2 452
 
0.1%
3 98
 
< 0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
65 1
 
< 0.1%
63 1
 
< 0.1%
28 1
 
< 0.1%
25 3
< 0.1%
21 2
< 0.1%

QT_MAT_NACBRAS
Real number (ℝ)

ZEROS 

Distinct1316
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.16514009
Minimum0
Maximum7889
Zeros77361
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:38.494577image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile98
Maximum7889
Range7889
Interquartile range (IQR)6

Descriptive statistics

Standard deviation85.45816355
Coefficient of variation (CV)4.237915689
Kurtosis895.7675732
Mean20.16514009
Median Absolute Deviation (MAD)2
Skewness19.55727805
Sum8969172
Variance7303.097717
MonotonicityNot monotonic
2024-07-28T21:09:38.607234image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 113685
25.6%
0 77361
17.4%
2 53117
11.9%
3 31638
 
7.1%
4 21326
 
4.8%
5 15569
 
3.5%
6 11813
 
2.7%
7 9383
 
2.1%
8 7594
 
1.7%
9 6350
 
1.4%
Other values (1306) 96950
21.8%
ValueCountFrequency (%)
0 77361
17.4%
1 113685
25.6%
2 53117
11.9%
3 31638
 
7.1%
4 21326
 
4.8%
ValueCountFrequency (%)
7889 1
< 0.1%
7885 1
< 0.1%
6383 1
< 0.1%
5615 1
< 0.1%
5445 1
< 0.1%

QT_MAT_NACESTRANG
Real number (ℝ)

SKEWED  ZEROS 

Distinct61
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0403519895
Minimum0
Maximum166
Zeros435738
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:38.717993image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum166
Range166
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7892475274
Coefficient of variation (CV)19.55907348
Kurtosis15679.87672
Mean0.0403519895
Median Absolute Deviation (MAD)0
Skewness105.2677805
Sum17948
Variance0.6229116595
MonotonicityNot monotonic
2024-07-28T21:09:38.822572image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 435738
98.0%
1 6341
 
1.4%
2 1432
 
0.3%
3 519
 
0.1%
4 264
 
0.1%
5 175
 
< 0.1%
6 92
 
< 0.1%
7 56
 
< 0.1%
9 28
 
< 0.1%
8 26
 
< 0.1%
Other values (51) 115
 
< 0.1%
ValueCountFrequency (%)
0 435738
98.0%
1 6341
 
1.4%
2 1432
 
0.3%
3 519
 
0.1%
4 264
 
0.1%
ValueCountFrequency (%)
166 1
< 0.1%
159 1
< 0.1%
138 1
< 0.1%
119 1
< 0.1%
107 1
< 0.1%

QT_CONC_NACBRAS
Real number (ℝ)

SKEWED  ZEROS 

Distinct391
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.978124311
Minimum0
Maximum2512
Zeros329243
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:38.930537image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum2512
Range2512
Interquartile range (IQR)1

Descriptive statistics

Standard deviation15.66634893
Coefficient of variation (CV)5.26047515
Kurtosis2313.637005
Mean2.978124311
Median Absolute Deviation (MAD)0
Skewness28.16788119
Sum1324628
Variance245.4344889
MonotonicityNot monotonic
2024-07-28T21:09:39.026142image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 329243
74.0%
1 40116
 
9.0%
2 16119
 
3.6%
3 8930
 
2.0%
4 5743
 
1.3%
5 4210
 
0.9%
6 3298
 
0.7%
7 2729
 
0.6%
8 2196
 
0.5%
9 2025
 
0.5%
Other values (381) 30177
 
6.8%
ValueCountFrequency (%)
0 329243
74.0%
1 40116
 
9.0%
2 16119
 
3.6%
3 8930
 
2.0%
4 5743
 
1.3%
ValueCountFrequency (%)
2512 1
< 0.1%
1380 1
< 0.1%
1224 1
< 0.1%
1189 1
< 0.1%
1150 1
< 0.1%

QT_CONC_NACESTRANG
Real number (ℝ)

SKEWED  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006063590131
Minimum0
Maximum35
Zeros442834
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:39.118963image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum35
Range35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1545110398
Coefficient of variation (CV)25.48177507
Kurtosis18154.66853
Mean0.006063590131
Median Absolute Deviation (MAD)0
Skewness107.4874964
Sum2697
Variance0.02387366143
MonotonicityNot monotonic
2024-07-28T21:09:39.201730image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 442834
99.6%
1 1659
 
0.4%
2 188
 
< 0.1%
3 45
 
< 0.1%
4 23
 
< 0.1%
5 6
 
< 0.1%
7 5
 
< 0.1%
9 4
 
< 0.1%
8 4
 
< 0.1%
6 3
 
< 0.1%
Other values (11) 15
 
< 0.1%
ValueCountFrequency (%)
0 442834
99.6%
1 1659
 
0.4%
2 188
 
< 0.1%
3 45
 
< 0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
35 1
< 0.1%
31 1
< 0.1%
29 1
< 0.1%
26 2
< 0.1%
19 1
< 0.1%

QT_ALUNO_DEFICIENTE
Real number (ℝ)

SKEWED  ZEROS 

Distinct100
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1984235115
Minimum0
Maximum314
Zeros408293
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:39.296083image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum314
Range314
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.729081542
Coefficient of variation (CV)8.714096068
Kurtosis5848.520944
Mean0.1984235115
Median Absolute Deviation (MAD)0
Skewness54.60796131
Sum88256
Variance2.989722978
MonotonicityNot monotonic
2024-07-28T21:09:39.412441image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 408293
91.8%
1 23341
 
5.2%
2 5726
 
1.3%
3 2492
 
0.6%
4 1396
 
0.3%
5 900
 
0.2%
6 569
 
0.1%
7 404
 
0.1%
8 293
 
0.1%
9 213
 
< 0.1%
Other values (90) 1159
 
0.3%
ValueCountFrequency (%)
0 408293
91.8%
1 23341
 
5.2%
2 5726
 
1.3%
3 2492
 
0.6%
4 1396
 
0.3%
ValueCountFrequency (%)
314 1
< 0.1%
269 1
< 0.1%
187 1
< 0.1%
182 1
< 0.1%
165 1
< 0.1%

QT_ING_DEFICIENTE
Real number (ℝ)

SKEWED  ZEROS 

Distinct38
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05410242229
Minimum0
Maximum68
Zeros428803
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:39.513438image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum68
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4474927229
Coefficient of variation (CV)8.27121419
Kurtosis3471.74122
Mean0.05410242229
Median Absolute Deviation (MAD)0
Skewness39.46051424
Sum24064
Variance0.2002497371
MonotonicityNot monotonic
2024-07-28T21:09:39.615115image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 428803
96.4%
1 12485
 
2.8%
2 2017
 
0.5%
3 666
 
0.1%
4 324
 
0.1%
5 148
 
< 0.1%
6 87
 
< 0.1%
7 69
 
< 0.1%
8 52
 
< 0.1%
9 32
 
< 0.1%
Other values (28) 103
 
< 0.1%
ValueCountFrequency (%)
0 428803
96.4%
1 12485
 
2.8%
2 2017
 
0.5%
3 666
 
0.1%
4 324
 
0.1%
ValueCountFrequency (%)
68 1
< 0.1%
58 1
< 0.1%
51 1
< 0.1%
45 1
< 0.1%
38 1
< 0.1%

QT_MAT_DEFICIENTE
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1426416299
Minimum0
Maximum253
Zeros417018
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:39.709115image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum253
Range253
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.391099444
Coefficient of variation (CV)9.752408504
Kurtosis7087.774548
Mean0.1426416299
Median Absolute Deviation (MAD)0
Skewness60.39016119
Sum63445
Variance1.935157664
MonotonicityNot monotonic
2024-07-28T21:09:39.819139image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 417018
93.8%
1 18207
 
4.1%
2 4302
 
1.0%
3 1884
 
0.4%
4 968
 
0.2%
5 642
 
0.1%
6 409
 
0.1%
7 269
 
0.1%
8 197
 
< 0.1%
9 143
 
< 0.1%
Other values (76) 747
 
0.2%
ValueCountFrequency (%)
0 417018
93.8%
1 18207
 
4.1%
2 4302
 
1.0%
3 1884
 
0.4%
4 968
 
0.2%
ValueCountFrequency (%)
253 1
< 0.1%
251 1
< 0.1%
162 1
< 0.1%
134 1
< 0.1%
131 1
< 0.1%

QT_CONC_DEFICIENTE
Real number (ℝ)

SKEWED  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01764893679
Minimum0
Maximum43
Zeros439187
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:39.904347image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2432004414
Coefficient of variation (CV)13.77989191
Kurtosis7098.163755
Mean0.01764893679
Median Absolute Deviation (MAD)0
Skewness60.39501564
Sum7850
Variance0.05914645468
MonotonicityNot monotonic
2024-07-28T21:09:39.984014image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 439187
98.7%
1 4581
 
1.0%
2 644
 
0.1%
3 176
 
< 0.1%
4 75
 
< 0.1%
5 31
 
< 0.1%
6 27
 
< 0.1%
7 16
 
< 0.1%
8 10
 
< 0.1%
14 6
 
< 0.1%
Other values (15) 33
 
< 0.1%
ValueCountFrequency (%)
0 439187
98.7%
1 4581
 
1.0%
2 644
 
0.1%
3 176
 
< 0.1%
4 75
 
< 0.1%
ValueCountFrequency (%)
43 1
 
< 0.1%
39 1
 
< 0.1%
38 1
 
< 0.1%
26 1
 
< 0.1%
25 3
< 0.1%

QT_ING_FINANC
Real number (ℝ)

SKEWED  ZEROS 

Distinct469
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.098892501
Minimum0
Maximum3230
Zeros292460
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:40.065450image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum3230
Range3230
Interquartile range (IQR)1

Descriptive statistics

Standard deviation19.12157306
Coefficient of variation (CV)6.170453816
Kurtosis4746.767575
Mean3.098892501
Median Absolute Deviation (MAD)0
Skewness45.03647973
Sum1378344
Variance365.6345563
MonotonicityNot monotonic
2024-07-28T21:09:40.161869image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 292460
65.8%
1 57744
 
13.0%
2 23721
 
5.3%
3 13425
 
3.0%
4 8670
 
1.9%
5 6436
 
1.4%
6 4752
 
1.1%
7 3828
 
0.9%
8 3128
 
0.7%
9 2677
 
0.6%
Other values (459) 27945
 
6.3%
ValueCountFrequency (%)
0 292460
65.8%
1 57744
 
13.0%
2 23721
 
5.3%
3 13425
 
3.0%
4 8670
 
1.9%
ValueCountFrequency (%)
3230 1
< 0.1%
3108 1
< 0.1%
1785 1
< 0.1%
1770 1
< 0.1%
1683 1
< 0.1%

QT_ING_FINANC_REEMB
Real number (ℝ)

SKEWED  ZEROS 

Distinct118
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1270745932
Minimum0
Maximum366
Zeros436501
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:40.256712image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum366
Range366
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.262035839
Coefficient of variation (CV)17.80085053
Kurtosis5371.527046
Mean0.1270745932
Median Absolute Deviation (MAD)0
Skewness56.74706453
Sum56521
Variance5.116806135
MonotonicityNot monotonic
2024-07-28T21:09:40.354684image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 436501
98.1%
1 3147
 
0.7%
2 1226
 
0.3%
3 736
 
0.2%
4 510
 
0.1%
5 380
 
0.1%
6 285
 
0.1%
7 226
 
0.1%
8 160
 
< 0.1%
9 139
 
< 0.1%
Other values (108) 1476
 
0.3%
ValueCountFrequency (%)
0 436501
98.1%
1 3147
 
0.7%
2 1226
 
0.3%
3 736
 
0.2%
4 510
 
0.1%
ValueCountFrequency (%)
366 1
< 0.1%
283 1
< 0.1%
274 1
< 0.1%
260 1
< 0.1%
252 1
< 0.1%

QT_ING_FIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct89
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07067218842
Minimum0
Maximum237
Zeros439255
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:40.465320image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum237
Range237
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.422055224
Coefficient of variation (CV)20.1218507
Kurtosis6247.837124
Mean0.07067218842
Median Absolute Deviation (MAD)0
Skewness60.69544314
Sum31434
Variance2.022241061
MonotonicityNot monotonic
2024-07-28T21:09:40.562366image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439255
98.8%
1 2140
 
0.5%
2 895
 
0.2%
3 553
 
0.1%
4 334
 
0.1%
5 241
 
0.1%
6 208
 
< 0.1%
7 137
 
< 0.1%
8 98
 
< 0.1%
9 90
 
< 0.1%
Other values (79) 835
 
0.2%
ValueCountFrequency (%)
0 439255
98.8%
1 2140
 
0.5%
2 895
 
0.2%
3 553
 
0.1%
4 334
 
0.1%
ValueCountFrequency (%)
237 1
< 0.1%
227 1
< 0.1%
176 1
< 0.1%
174 1
< 0.1%
165 1
< 0.1%

QT_ING_RPFIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct90
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04286106127
Minimum0
Maximum366
Zeros441744
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:40.668298image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum366
Range366
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.476906778
Coefficient of variation (CV)34.45800768
Kurtosis19740.61143
Mean0.04286106127
Median Absolute Deviation (MAD)0
Skewness114.9898231
Sum19064
Variance2.181253632
MonotonicityNot monotonic
2024-07-28T21:09:40.763485image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 441744
99.3%
1 1333
 
0.3%
2 454
 
0.1%
3 268
 
0.1%
4 165
 
< 0.1%
5 119
 
< 0.1%
6 89
 
< 0.1%
7 66
 
< 0.1%
8 61
 
< 0.1%
10 45
 
< 0.1%
Other values (80) 442
 
0.1%
ValueCountFrequency (%)
0 441744
99.3%
1 1333
 
0.3%
2 454
 
0.1%
3 268
 
0.1%
4 165
 
< 0.1%
ValueCountFrequency (%)
366 1
< 0.1%
274 1
< 0.1%
259 1
< 0.1%
255 1
< 0.1%
251 1
< 0.1%

QT_ING_FINANC_REEMB_OUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct57
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01745558538
Minimum0
Maximum250
Zeros443467
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:40.863286image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8244284456
Coefficient of variation (CV)47.23006576
Kurtosis30152.10562
Mean0.01745558538
Median Absolute Deviation (MAD)0
Skewness139.957072
Sum7764
Variance0.6796822618
MonotonicityNot monotonic
2024-07-28T21:09:40.971746image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 443467
99.7%
1 594
 
0.1%
2 197
 
< 0.1%
3 103
 
< 0.1%
4 89
 
< 0.1%
5 52
 
< 0.1%
7 32
 
< 0.1%
9 29
 
< 0.1%
6 20
 
< 0.1%
8 18
 
< 0.1%
Other values (47) 185
 
< 0.1%
ValueCountFrequency (%)
0 443467
99.7%
1 594
 
0.1%
2 197
 
< 0.1%
3 103
 
< 0.1%
4 89
 
< 0.1%
ValueCountFrequency (%)
250 1
< 0.1%
184 1
< 0.1%
140 1
< 0.1%
111 1
< 0.1%
98 1
< 0.1%

QT_ING_FINANC_NREEMB
Real number (ℝ)

SKEWED  ZEROS 

Distinct468
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.012860117
Minimum0
Maximum3230
Zeros294413
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:41.070716image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum3230
Range3230
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.9637946
Coefficient of variation (CV)6.294283126
Kurtosis4900.216027
Mean3.012860117
Median Absolute Deviation (MAD)0
Skewness45.9944538
Sum1340078
Variance359.6255054
MonotonicityNot monotonic
2024-07-28T21:09:41.167815image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 294413
66.2%
1 57258
 
12.9%
2 23584
 
5.3%
3 13344
 
3.0%
4 8596
 
1.9%
5 6380
 
1.4%
6 4706
 
1.1%
7 3773
 
0.8%
8 3075
 
0.7%
9 2657
 
0.6%
Other values (458) 27000
 
6.1%
ValueCountFrequency (%)
0 294413
66.2%
1 57258
 
12.9%
2 23584
 
5.3%
3 13344
 
3.0%
4 8596
 
1.9%
ValueCountFrequency (%)
3230 1
< 0.1%
3106 1
< 0.1%
1785 1
< 0.1%
1770 1
< 0.1%
1683 1
< 0.1%

QT_ING_PROUNII
Real number (ℝ)

SKEWED  ZEROS 

Distinct72
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1647961042
Minimum0
Maximum124
Zeros420321
Zeros (%)94.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:41.274145image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum124
Range124
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.310545713
Coefficient of variation (CV)7.952528486
Kurtosis1129.180752
Mean0.1647961042
Median Absolute Deviation (MAD)0
Skewness24.35762857
Sum73299
Variance1.717530066
MonotonicityNot monotonic
2024-07-28T21:09:41.377592image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 420321
94.5%
1 13002
 
2.9%
2 4137
 
0.9%
3 2141
 
0.5%
4 1282
 
0.3%
5 872
 
0.2%
6 586
 
0.1%
7 460
 
0.1%
8 356
 
0.1%
9 263
 
0.1%
Other values (62) 1366
 
0.3%
ValueCountFrequency (%)
0 420321
94.5%
1 13002
 
2.9%
2 4137
 
0.9%
3 2141
 
0.5%
4 1282
 
0.3%
ValueCountFrequency (%)
124 1
< 0.1%
120 1
< 0.1%
97 2
< 0.1%
96 1
< 0.1%
94 1
< 0.1%

QT_ING_PROUNIP
Real number (ℝ)

SKEWED  ZEROS 

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03318449771
Minimum0
Maximum87
Zeros439365
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:41.477641image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5558890734
Coefficient of variation (CV)16.75146866
Kurtosis5184.342428
Mean0.03318449771
Median Absolute Deviation (MAD)0
Skewness53.25610597
Sum14760
Variance0.3090126619
MonotonicityNot monotonic
2024-07-28T21:09:41.605520image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 439365
98.8%
1 3090
 
0.7%
2 843
 
0.2%
3 439
 
0.1%
4 272
 
0.1%
5 174
 
< 0.1%
6 119
 
< 0.1%
7 108
 
< 0.1%
8 75
 
< 0.1%
9 63
 
< 0.1%
Other values (35) 238
 
0.1%
ValueCountFrequency (%)
0 439365
98.8%
1 3090
 
0.7%
2 843
 
0.2%
3 439
 
0.1%
4 272
 
0.1%
ValueCountFrequency (%)
87 1
< 0.1%
81 1
< 0.1%
79 1
< 0.1%
61 1
< 0.1%
59 1
< 0.1%

QT_ING_NRPFIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct462
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.753396015
Minimum0
Maximum3219
Zeros315613
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:41.705784image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum3219
Range3219
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.55540444
Coefficient of variation (CV)6.739097587
Kurtosis5195.329802
Mean2.753396015
Median Absolute Deviation (MAD)0
Skewness47.60747078
Sum1224672
Variance344.303034
MonotonicityNot monotonic
2024-07-28T21:09:41.812578image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 315613
71.0%
1 46439
 
10.4%
2 20365
 
4.6%
3 11778
 
2.6%
4 7673
 
1.7%
5 5660
 
1.3%
6 4224
 
0.9%
7 3352
 
0.8%
8 2791
 
0.6%
9 2369
 
0.5%
Other values (452) 24522
 
5.5%
ValueCountFrequency (%)
0 315613
71.0%
1 46439
 
10.4%
2 20365
 
4.6%
3 11778
 
2.6%
4 7673
 
1.7%
ValueCountFrequency (%)
3219 1
< 0.1%
3085 1
< 0.1%
1777 1
< 0.1%
1764 1
< 0.1%
1679 1
< 0.1%

QT_ING_FINANC_NREEMB_OUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct105
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1034407558
Minimum0
Maximum505
Zeros433060
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:41.912486image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum505
Range505
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.960967747
Coefficient of variation (CV)18.95739964
Kurtosis16761.46077
Mean0.1034407558
Median Absolute Deviation (MAD)0
Skewness94.97574609
Sum46009
Variance3.845394504
MonotonicityNot monotonic
2024-07-28T21:09:42.287089image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 433060
97.4%
1 7063
 
1.6%
2 1679
 
0.4%
3 724
 
0.2%
4 399
 
0.1%
5 264
 
0.1%
6 205
 
< 0.1%
8 151
 
< 0.1%
7 142
 
< 0.1%
9 101
 
< 0.1%
Other values (95) 998
 
0.2%
ValueCountFrequency (%)
0 433060
97.4%
1 7063
 
1.6%
2 1679
 
0.4%
3 724
 
0.2%
4 399
 
0.1%
ValueCountFrequency (%)
505 1
< 0.1%
398 1
< 0.1%
237 1
< 0.1%
231 1
< 0.1%
219 1
< 0.1%

QT_MAT_FINANC
Real number (ℝ)

SKEWED  ZEROS 

Distinct740
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.949886013
Minimum0
Maximum5893
Zeros272505
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:42.378521image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile23
Maximum5893
Range5893
Interquartile range (IQR)2

Descriptive statistics

Standard deviation36.45703331
Coefficient of variation (CV)6.127349875
Kurtosis2699.342055
Mean5.949886013
Median Absolute Deviation (MAD)0
Skewness32.85971718
Sum2646426
Variance1329.115278
MonotonicityNot monotonic
2024-07-28T21:09:42.475313image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 272505
61.3%
1 60817
 
13.7%
2 25351
 
5.7%
3 14292
 
3.2%
4 9435
 
2.1%
5 6703
 
1.5%
6 5189
 
1.2%
7 3957
 
0.9%
8 3406
 
0.8%
9 2777
 
0.6%
Other values (730) 40354
 
9.1%
ValueCountFrequency (%)
0 272505
61.3%
1 60817
 
13.7%
2 25351
 
5.7%
3 14292
 
3.2%
4 9435
 
2.1%
ValueCountFrequency (%)
5893 1
< 0.1%
3301 1
< 0.1%
3271 1
< 0.1%
3014 1
< 0.1%
3013 1
< 0.1%

QT_MAT_FINANC_REEMB
Real number (ℝ)

SKEWED  ZEROS 

Distinct329
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.718572527
Minimum0
Maximum1176
Zeros429045
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:42.577530image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1176
Range1176
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.588604977
Coefficient of variation (CV)13.34396267
Kurtosis2409.104726
Mean0.718572527
Median Absolute Deviation (MAD)0
Skewness37.35961433
Sum319611
Variance91.94134541
MonotonicityNot monotonic
2024-07-28T21:09:42.681320image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 429045
96.5%
1 3462
 
0.8%
2 1721
 
0.4%
3 1135
 
0.3%
4 835
 
0.2%
5 713
 
0.2%
6 575
 
0.1%
7 498
 
0.1%
8 422
 
0.1%
9 394
 
0.1%
Other values (319) 5986
 
1.3%
ValueCountFrequency (%)
0 429045
96.5%
1 3462
 
0.8%
2 1721
 
0.4%
3 1135
 
0.3%
4 835
 
0.2%
ValueCountFrequency (%)
1176 1
< 0.1%
1090 1
< 0.1%
973 1
< 0.1%
907 1
< 0.1%
728 1
< 0.1%

QT_MAT_FIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct272
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5013849357
Minimum0
Maximum1176
Zeros432431
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:42.782399image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1176
Range1176
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.672045361
Coefficient of variation (CV)15.30170696
Kurtosis4600.214056
Mean0.5013849357
Median Absolute Deviation (MAD)0
Skewness50.6214638
Sum223009
Variance58.86028002
MonotonicityNot monotonic
2024-07-28T21:09:42.892587image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 432431
97.2%
1 2493
 
0.6%
2 1396
 
0.3%
3 992
 
0.2%
4 731
 
0.2%
5 572
 
0.1%
6 513
 
0.1%
7 428
 
0.1%
8 345
 
0.1%
9 321
 
0.1%
Other values (262) 4564
 
1.0%
ValueCountFrequency (%)
0 432431
97.2%
1 2493
 
0.6%
2 1396
 
0.3%
3 992
 
0.2%
4 731
 
0.2%
ValueCountFrequency (%)
1176 1
< 0.1%
1090 1
< 0.1%
972 1
< 0.1%
835 1
< 0.1%
728 1
< 0.1%

QT_MAT_RPFIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct168
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1462883274
Minimum0
Maximum556
Zeros439245
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:42.998405image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum556
Range556
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.562005606
Coefficient of variation (CV)24.34921274
Kurtosis6517.450832
Mean0.1462883274
Median Absolute Deviation (MAD)0
Skewness66.87027496
Sum65067
Variance12.68788394
MonotonicityNot monotonic
2024-07-28T21:09:43.098730image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439245
98.8%
1 1715
 
0.4%
2 738
 
0.2%
3 456
 
0.1%
4 320
 
0.1%
5 258
 
0.1%
6 205
 
< 0.1%
7 187
 
< 0.1%
8 134
 
< 0.1%
9 120
 
< 0.1%
Other values (158) 1408
 
0.3%
ValueCountFrequency (%)
0 439245
98.8%
1 1715
 
0.4%
2 738
 
0.2%
3 456
 
0.1%
4 320
 
0.1%
ValueCountFrequency (%)
556 1
< 0.1%
463 1
< 0.1%
461 1
< 0.1%
455 1
< 0.1%
431 1
< 0.1%

QT_MAT_FINANC_REEMB_OUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct142
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.087691609
Minimum0
Maximum484
Zeros441382
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:43.208066image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum484
Range484
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.803022814
Coefficient of variation (CV)31.96454992
Kurtosis8296.32548
Mean0.087691609
Median Absolute Deviation (MAD)0
Skewness77.36672759
Sum39004
Variance7.856936894
MonotonicityNot monotonic
2024-07-28T21:09:43.305077image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 441382
99.2%
1 1081
 
0.2%
2 481
 
0.1%
3 307
 
0.1%
4 205
 
< 0.1%
5 155
 
< 0.1%
6 124
 
< 0.1%
8 90
 
< 0.1%
7 89
 
< 0.1%
9 64
 
< 0.1%
Other values (132) 808
 
0.2%
ValueCountFrequency (%)
0 441382
99.2%
1 1081
 
0.2%
2 481
 
0.1%
3 307
 
0.1%
4 205
 
< 0.1%
ValueCountFrequency (%)
484 1
< 0.1%
425 1
< 0.1%
397 1
< 0.1%
353 1
< 0.1%
331 1
< 0.1%

QT_MAT_FINANC_NREEMB
Real number (ℝ)

SKEWED  ZEROS 

Distinct713
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.444069732
Minimum0
Maximum5887
Zeros274629
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:43.406271image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile21
Maximum5887
Range5887
Interquartile range (IQR)1

Descriptive statistics

Standard deviation34.36692022
Coefficient of variation (CV)6.31272594
Kurtosis3333.93672
Mean5.444069732
Median Absolute Deviation (MAD)0
Skewness36.90280623
Sum2421446
Variance1181.085205
MonotonicityNot monotonic
2024-07-28T21:09:43.501783image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 274629
61.7%
1 60375
 
13.6%
2 25213
 
5.7%
3 14204
 
3.2%
4 9401
 
2.1%
5 6739
 
1.5%
6 5163
 
1.2%
7 3970
 
0.9%
8 3421
 
0.8%
9 2788
 
0.6%
Other values (703) 38883
 
8.7%
ValueCountFrequency (%)
0 274629
61.7%
1 60375
 
13.6%
2 25213
 
5.7%
3 14204
 
3.2%
4 9401
 
2.1%
ValueCountFrequency (%)
5887 1
< 0.1%
3301 1
< 0.1%
3271 1
< 0.1%
3014 1
< 0.1%
3011 1
< 0.1%

QT_MAT_PROUNII
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8600630416
Minimum0
Maximum507
Zeros396410
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:43.612248image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum507
Range507
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.956063685
Coefficient of variation (CV)6.925147805
Kurtosis647.3677192
Mean0.8600630416
Median Absolute Deviation (MAD)0
Skewness18.86302061
Sum382544
Variance35.47469461
MonotonicityNot monotonic
2024-07-28T21:09:43.715583image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 396410
89.1%
1 18450
 
4.1%
2 6886
 
1.5%
3 3770
 
0.8%
4 2550
 
0.6%
5 1910
 
0.4%
6 1574
 
0.4%
7 1248
 
0.3%
8 1057
 
0.2%
9 953
 
0.2%
Other values (199) 9978
 
2.2%
ValueCountFrequency (%)
0 396410
89.1%
1 18450
 
4.1%
2 6886
 
1.5%
3 3770
 
0.8%
4 2550
 
0.6%
ValueCountFrequency (%)
507 1
< 0.1%
407 1
< 0.1%
376 1
< 0.1%
362 1
< 0.1%
345 1
< 0.1%

QT_MAT_PROUNIP
Real number (ℝ)

SKEWED  ZEROS 

Distinct173
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.216573813
Minimum0
Maximum1219
Zeros432214
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:43.826640image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1219
Range1219
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.009720605
Coefficient of variation (CV)18.51433721
Kurtosis21348.53631
Mean0.216573813
Median Absolute Deviation (MAD)0
Skewness97.03756272
Sum96329
Variance16.07785933
MonotonicityNot monotonic
2024-07-28T21:09:43.923942image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 432214
97.2%
1 5517
 
1.2%
2 1832
 
0.4%
3 923
 
0.2%
4 591
 
0.1%
5 413
 
0.1%
6 340
 
0.1%
7 295
 
0.1%
8 240
 
0.1%
9 209
 
< 0.1%
Other values (163) 2212
 
0.5%
ValueCountFrequency (%)
0 432214
97.2%
1 5517
 
1.2%
2 1832
 
0.4%
3 923
 
0.2%
4 591
 
0.1%
ValueCountFrequency (%)
1219 1
< 0.1%
386 1
< 0.1%
382 1
< 0.1%
376 1
< 0.1%
370 1
< 0.1%

QT_MAT_NRPFIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct666
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.233276227
Minimum0
Maximum5593
Zeros310107
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:44.016999image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile15
Maximum5593
Range5593
Interquartile range (IQR)1

Descriptive statistics

Standard deviation30.92223277
Coefficient of variation (CV)7.30456297
Kurtosis4125.209691
Mean4.233276227
Median Absolute Deviation (MAD)0
Skewness42.0784574
Sum1882902
Variance956.1844795
MonotonicityNot monotonic
2024-07-28T21:09:44.116294image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 310107
69.7%
1 46833
 
10.5%
2 20166
 
4.5%
3 11485
 
2.6%
4 7723
 
1.7%
5 5609
 
1.3%
6 4346
 
1.0%
7 3312
 
0.7%
8 2795
 
0.6%
9 2241
 
0.5%
Other values (656) 30169
 
6.8%
ValueCountFrequency (%)
0 310107
69.7%
1 46833
 
10.5%
2 20166
 
4.5%
3 11485
 
2.6%
4 7723
 
1.7%
ValueCountFrequency (%)
5593 1
< 0.1%
3245 1
< 0.1%
3142 1
< 0.1%
2945 1
< 0.1%
2669 1
< 0.1%

QT_MAT_FINANC_NREEMB_OUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct202
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2936063635
Minimum0
Maximum995
Zeros426588
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:44.222052image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum995
Range995
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.368196636
Coefficient of variation (CV)18.28365221
Kurtosis8623.307829
Mean0.2936063635
Median Absolute Deviation (MAD)0
Skewness71.11025606
Sum130592
Variance28.81753512
MonotonicityNot monotonic
2024-07-28T21:09:44.323938image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 426588
95.9%
1 9719
 
2.2%
2 2560
 
0.6%
3 1291
 
0.3%
4 733
 
0.2%
5 481
 
0.1%
6 358
 
0.1%
7 295
 
0.1%
8 220
 
< 0.1%
9 164
 
< 0.1%
Other values (192) 2377
 
0.5%
ValueCountFrequency (%)
0 426588
95.9%
1 9719
 
2.2%
2 2560
 
0.6%
3 1291
 
0.3%
4 733
 
0.2%
ValueCountFrequency (%)
995 1
< 0.1%
873 1
< 0.1%
781 1
< 0.1%
769 1
< 0.1%
705 1
< 0.1%

QT_CONC_FINANC
Real number (ℝ)

SKEWED  ZEROS 

Distinct234
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9103748769
Minimum0
Maximum874
Zeros395310
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:44.429298image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum874
Range874
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.9193594
Coefficient of variation (CV)7.600560577
Kurtosis2021.072618
Mean0.9103748769
Median Absolute Deviation (MAD)0
Skewness30.63173665
Sum404922
Variance47.8775345
MonotonicityNot monotonic
2024-07-28T21:09:44.527481image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395310
88.9%
1 18988
 
4.3%
2 6769
 
1.5%
3 3832
 
0.9%
4 2630
 
0.6%
5 1877
 
0.4%
6 1611
 
0.4%
7 1331
 
0.3%
8 1103
 
0.2%
9 991
 
0.2%
Other values (224) 10344
 
2.3%
ValueCountFrequency (%)
0 395310
88.9%
1 18988
 
4.3%
2 6769
 
1.5%
3 3832
 
0.9%
4 2630
 
0.6%
ValueCountFrequency (%)
874 1
< 0.1%
731 1
< 0.1%
714 1
< 0.1%
577 1
< 0.1%
559 1
< 0.1%

QT_CONC_FINANC_REEMB
Real number (ℝ)

SKEWED  ZEROS 

Distinct109
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1645982562
Minimum0
Maximum202
Zeros435159
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:44.624524image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum202
Range202
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.107839748
Coefficient of variation (CV)12.80596646
Kurtosis1252.983988
Mean0.1645982562
Median Absolute Deviation (MAD)0
Skewness28.23664989
Sum73211
Variance4.442988404
MonotonicityNot monotonic
2024-07-28T21:09:44.746301image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 435159
97.8%
1 2618
 
0.6%
2 1407
 
0.3%
3 974
 
0.2%
4 693
 
0.2%
5 486
 
0.1%
6 426
 
0.1%
7 356
 
0.1%
8 298
 
0.1%
9 232
 
0.1%
Other values (99) 2137
 
0.5%
ValueCountFrequency (%)
0 435159
97.8%
1 2618
 
0.6%
2 1407
 
0.3%
3 974
 
0.2%
4 693
 
0.2%
ValueCountFrequency (%)
202 1
< 0.1%
156 1
< 0.1%
155 1
< 0.1%
151 1
< 0.1%
149 1
< 0.1%

QT_CONC_FIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct99
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1302356639
Minimum0
Maximum202
Zeros436564
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:44.839454image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum202
Range202
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.798925152
Coefficient of variation (CV)13.81284587
Kurtosis1646.347687
Mean0.1302356639
Median Absolute Deviation (MAD)0
Skewness31.66759606
Sum57927
Variance3.236131701
MonotonicityNot monotonic
2024-07-28T21:09:44.940547image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 436564
98.2%
1 2289
 
0.5%
2 1275
 
0.3%
3 862
 
0.2%
4 581
 
0.1%
5 426
 
0.1%
6 337
 
0.1%
7 315
 
0.1%
8 252
 
0.1%
9 203
 
< 0.1%
Other values (89) 1682
 
0.4%
ValueCountFrequency (%)
0 436564
98.2%
1 2289
 
0.5%
2 1275
 
0.3%
3 862
 
0.2%
4 581
 
0.1%
ValueCountFrequency (%)
202 1
< 0.1%
156 1
< 0.1%
154 1
< 0.1%
137 2
< 0.1%
124 1
< 0.1%

QT_CONC_RPFIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02104832436
Minimum0
Maximum105
Zeros442508
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:45.041655image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum105
Range105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5837811998
Coefficient of variation (CV)27.73528143
Kurtosis8820.137911
Mean0.02104832436
Median Absolute Deviation (MAD)0
Skewness73.86038484
Sum9362
Variance0.3408004892
MonotonicityNot monotonic
2024-07-28T21:09:45.133469image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 442508
99.5%
1 967
 
0.2%
2 419
 
0.1%
3 245
 
0.1%
4 140
 
< 0.1%
5 84
 
< 0.1%
6 71
 
< 0.1%
7 60
 
< 0.1%
8 48
 
< 0.1%
9 38
 
< 0.1%
Other values (40) 206
 
< 0.1%
ValueCountFrequency (%)
0 442508
99.5%
1 967
 
0.2%
2 419
 
0.1%
3 245
 
0.1%
4 140
 
< 0.1%
ValueCountFrequency (%)
105 2
< 0.1%
96 1
< 0.1%
64 2
< 0.1%
52 1
< 0.1%
49 1
< 0.1%

QT_CONC_FINANC_REEMB_OUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct48
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01610662206
Minimum0
Maximum136
Zeros443038
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:45.233297image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum136
Range136
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5199713513
Coefficient of variation (CV)32.28307893
Kurtosis15230.46598
Mean0.01610662206
Median Absolute Deviation (MAD)0
Skewness92.85152891
Sum7164
Variance0.2703702062
MonotonicityNot monotonic
2024-07-28T21:09:45.342504image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 443038
99.6%
1 741
 
0.2%
2 332
 
0.1%
3 183
 
< 0.1%
4 114
 
< 0.1%
5 70
 
< 0.1%
6 56
 
< 0.1%
7 32
 
< 0.1%
8 30
 
< 0.1%
9 24
 
< 0.1%
Other values (38) 166
 
< 0.1%
ValueCountFrequency (%)
0 443038
99.6%
1 741
 
0.2%
2 332
 
0.1%
3 183
 
< 0.1%
4 114
 
< 0.1%
ValueCountFrequency (%)
136 1
< 0.1%
77 1
< 0.1%
75 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%

QT_CONC_FINANC_NREEMB
Real number (ℝ)

SKEWED  ZEROS 

Distinct225
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7952858228
Minimum0
Maximum873
Zeros396767
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:45.442350image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum873
Range873
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.415388234
Coefficient of variation (CV)8.066770524
Kurtosis2636.101716
Mean0.7952858228
Median Absolute Deviation (MAD)0
Skewness35.4889794
Sum353732
Variance41.15720619
MonotonicityNot monotonic
2024-07-28T21:09:45.551367image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 396767
89.2%
1 18970
 
4.3%
2 6857
 
1.5%
3 3836
 
0.9%
4 2643
 
0.6%
5 1896
 
0.4%
6 1581
 
0.4%
7 1301
 
0.3%
8 1115
 
0.3%
9 932
 
0.2%
Other values (215) 8888
 
2.0%
ValueCountFrequency (%)
0 396767
89.2%
1 18970
 
4.3%
2 6857
 
1.5%
3 3836
 
0.9%
4 2643
 
0.6%
ValueCountFrequency (%)
873 1
< 0.1%
731 1
< 0.1%
714 1
< 0.1%
577 1
< 0.1%
549 1
< 0.1%

QT_CONC_PROUNII
Real number (ℝ)

SKEWED  ZEROS 

Distinct76
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1746165572
Minimum0
Maximum147
Zeros425368
Zeros (%)95.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:45.654766image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum147
Range147
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4770302
Coefficient of variation (CV)8.458706457
Kurtosis994.8821806
Mean0.1746165572
Median Absolute Deviation (MAD)0
Skewness22.87915928
Sum77667
Variance2.181618211
MonotonicityNot monotonic
2024-07-28T21:09:45.756928image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 425368
95.6%
1 8136
 
1.8%
2 3070
 
0.7%
3 1938
 
0.4%
4 1305
 
0.3%
5 1013
 
0.2%
6 773
 
0.2%
7 540
 
0.1%
8 449
 
0.1%
9 355
 
0.1%
Other values (66) 1839
 
0.4%
ValueCountFrequency (%)
0 425368
95.6%
1 8136
 
1.8%
2 3070
 
0.7%
3 1938
 
0.4%
4 1305
 
0.3%
ValueCountFrequency (%)
147 1
< 0.1%
111 1
< 0.1%
102 1
< 0.1%
100 1
< 0.1%
94 1
< 0.1%

QT_CONC_PROUNIP
Real number (ℝ)

SKEWED  ZEROS 

Distinct73
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05144271627
Minimum0
Maximum231
Zeros439493
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:45.853184image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum231
Range231
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.063495518
Coefficient of variation (CV)20.67339354
Kurtosis9772.054851
Mean0.05144271627
Median Absolute Deviation (MAD)0
Skewness73.59955482
Sum22881
Variance1.131022717
MonotonicityNot monotonic
2024-07-28T21:09:45.947218image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439493
98.8%
1 2466
 
0.6%
2 813
 
0.2%
3 435
 
0.1%
4 286
 
0.1%
5 230
 
0.1%
6 200
 
< 0.1%
7 139
 
< 0.1%
8 112
 
< 0.1%
9 83
 
< 0.1%
Other values (63) 529
 
0.1%
ValueCountFrequency (%)
0 439493
98.8%
1 2466
 
0.6%
2 813
 
0.2%
3 435
 
0.1%
4 286
 
0.1%
ValueCountFrequency (%)
231 1
< 0.1%
183 1
< 0.1%
115 1
< 0.1%
114 1
< 0.1%
112 1
< 0.1%

QT_CONC_NRPFIES
Real number (ℝ)

SKEWED  ZEROS 

Distinct213
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5438840251
Minimum0
Maximum844
Zeros410722
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:46.049069image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum844
Range844
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.476019034
Coefficient of variation (CV)10.06835792
Kurtosis3727.954595
Mean0.5438840251
Median Absolute Deviation (MAD)0
Skewness43.37970066
Sum241912
Variance29.98678446
MonotonicityNot monotonic
2024-07-28T21:09:46.140204image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 410722
92.3%
1 13818
 
3.1%
2 5210
 
1.2%
3 2822
 
0.6%
4 1814
 
0.4%
5 1348
 
0.3%
6 1096
 
0.2%
7 876
 
0.2%
8 728
 
0.2%
9 625
 
0.1%
Other values (203) 5727
 
1.3%
ValueCountFrequency (%)
0 410722
92.3%
1 13818
 
3.1%
2 5210
 
1.2%
3 2822
 
0.6%
4 1814
 
0.4%
ValueCountFrequency (%)
844 1
< 0.1%
675 1
< 0.1%
625 1
< 0.1%
549 1
< 0.1%
515 1
< 0.1%

QT_CONC_FINANC_NREEMB_OUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct71
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0507210209
Minimum0
Maximum174
Zeros438940
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:46.239942image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum174
Range174
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9978581712
Coefficient of variation (CV)19.67346385
Kurtosis6049.410137
Mean0.0507210209
Median Absolute Deviation (MAD)0
Skewness60.06583273
Sum22560
Variance0.9957209298
MonotonicityNot monotonic
2024-07-28T21:09:46.359022image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 438940
98.7%
1 3146
 
0.7%
2 841
 
0.2%
3 431
 
0.1%
4 282
 
0.1%
5 189
 
< 0.1%
6 134
 
< 0.1%
7 111
 
< 0.1%
8 96
 
< 0.1%
9 89
 
< 0.1%
Other values (61) 527
 
0.1%
ValueCountFrequency (%)
0 438940
98.7%
1 3146
 
0.7%
2 841
 
0.2%
3 431
 
0.1%
4 282
 
0.1%
ValueCountFrequency (%)
174 1
< 0.1%
138 1
< 0.1%
134 1
< 0.1%
120 1
< 0.1%
105 1
< 0.1%

QT_ING_RESERVA_VAGA
Real number (ℝ)

SKEWED  ZEROS 

Distinct145
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3382323185
Minimum0
Maximum514
Zeros437783
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:46.458502image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum514
Range514
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.87315633
Coefficient of variation (CV)11.45117163
Kurtosis2181.572166
Mean0.3382323185
Median Absolute Deviation (MAD)0
Skewness31.11957914
Sum150441
Variance15.00133995
MonotonicityNot monotonic
2024-07-28T21:09:46.565433image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 437783
98.4%
20 310
 
0.1%
1 280
 
0.1%
19 273
 
0.1%
18 243
 
0.1%
15 241
 
0.1%
16 230
 
0.1%
14 229
 
0.1%
7 213
 
< 0.1%
12 212
 
< 0.1%
Other values (135) 4772
 
1.1%
ValueCountFrequency (%)
0 437783
98.4%
1 280
 
0.1%
2 196
 
< 0.1%
3 175
 
< 0.1%
4 169
 
< 0.1%
ValueCountFrequency (%)
514 1
< 0.1%
415 1
< 0.1%
410 1
< 0.1%
377 1
< 0.1%
326 1
< 0.1%

QT_ING_RVREDEPUBLICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct142
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.305355834
Minimum0
Maximum495
Zeros438109
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:46.667204image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum495
Range495
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.643811381
Coefficient of variation (CV)11.9330007
Kurtosis2417.521791
Mean0.305355834
Median Absolute Deviation (MAD)0
Skewness32.89844059
Sum135818
Variance13.27736138
MonotonicityNot monotonic
2024-07-28T21:09:46.766687image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 438109
98.5%
1 307
 
0.1%
20 291
 
0.1%
19 251
 
0.1%
18 238
 
0.1%
15 231
 
0.1%
11 222
 
< 0.1%
13 219
 
< 0.1%
10 218
 
< 0.1%
2 217
 
< 0.1%
Other values (132) 4483
 
1.0%
ValueCountFrequency (%)
0 438109
98.5%
1 307
 
0.1%
2 217
 
< 0.1%
3 190
 
< 0.1%
4 195
 
< 0.1%
ValueCountFrequency (%)
495 1
< 0.1%
415 1
< 0.1%
404 1
< 0.1%
377 1
< 0.1%
276 1
< 0.1%

QT_ING_RVETNICO
Real number (ℝ)

SKEWED  ZEROS 

Distinct98
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1620509638
Minimum0
Maximum249
Zeros438644
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:46.866589image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum249
Range249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.990612596
Coefficient of variation (CV)12.28386768
Kurtosis1698.021484
Mean0.1620509638
Median Absolute Deviation (MAD)0
Skewness28.75841902
Sum72078
Variance3.962538509
MonotonicityNot monotonic
2024-07-28T21:09:46.963268image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 438644
98.6%
1 453
 
0.1%
3 382
 
0.1%
2 374
 
0.1%
4 356
 
0.1%
5 354
 
0.1%
7 350
 
0.1%
8 340
 
0.1%
6 334
 
0.1%
9 277
 
0.1%
Other values (88) 2922
 
0.7%
ValueCountFrequency (%)
0 438644
98.6%
1 453
 
0.1%
2 374
 
0.1%
3 382
 
0.1%
4 356
 
0.1%
ValueCountFrequency (%)
249 1
< 0.1%
205 1
< 0.1%
172 1
< 0.1%
149 1
< 0.1%
148 1
< 0.1%

QT_ING_RVPDEF
Real number (ℝ)

SKEWED  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00616476238
Minimum0
Maximum34
Zeros443283
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:47.051251image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.150399913
Coefficient of variation (CV)24.39670886
Kurtosis8860.480412
Mean0.00616476238
Median Absolute Deviation (MAD)0
Skewness65.77786158
Sum2742
Variance0.02262013382
MonotonicityNot monotonic
2024-07-28T21:09:47.146596image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 443283
99.7%
1 929
 
0.2%
2 326
 
0.1%
3 107
 
< 0.1%
4 61
 
< 0.1%
5 27
 
< 0.1%
6 19
 
< 0.1%
7 14
 
< 0.1%
8 6
 
< 0.1%
10 4
 
< 0.1%
Other values (9) 10
 
< 0.1%
ValueCountFrequency (%)
0 443283
99.7%
1 929
 
0.2%
2 326
 
0.1%
3 107
 
< 0.1%
4 61
 
< 0.1%
ValueCountFrequency (%)
34 1
< 0.1%
20 1
< 0.1%
18 1
< 0.1%
17 1
< 0.1%
16 1
< 0.1%

QT_ING_RVSOCIAL_RF
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1296241339
Minimum0
Maximum255
Zeros439288
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:47.255877image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.699553507
Coefficient of variation (CV)13.11139721
Kurtosis2911.235367
Mean0.1296241339
Median Absolute Deviation (MAD)0
Skewness36.25176941
Sum57655
Variance2.888482122
MonotonicityNot monotonic
2024-07-28T21:09:47.623775image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439288
98.8%
10 410
 
0.1%
6 367
 
0.1%
7 358
 
0.1%
8 353
 
0.1%
3 351
 
0.1%
4 350
 
0.1%
2 349
 
0.1%
1 348
 
0.1%
5 344
 
0.1%
Other values (76) 2268
 
0.5%
ValueCountFrequency (%)
0 439288
98.8%
1 348
 
0.1%
2 349
 
0.1%
3 351
 
0.1%
4 350
 
0.1%
ValueCountFrequency (%)
255 1
< 0.1%
215 1
< 0.1%
176 1
< 0.1%
142 1
< 0.1%
133 2
< 0.1%

QT_ING_RVOUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009793473715
Minimum0
Maximum139
Zeros444187
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:47.711928image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum139
Range139
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5306809033
Coefficient of variation (CV)54.18719841
Kurtosis19492.7656
Mean0.009793473715
Median Absolute Deviation (MAD)0
Skewness116.6613631
Sum4356
Variance0.2816222211
MonotonicityNot monotonic
2024-07-28T21:09:47.813612image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 444187
99.9%
1 165
 
< 0.1%
2 88
 
< 0.1%
4 63
 
< 0.1%
3 55
 
< 0.1%
5 37
 
< 0.1%
6 32
 
< 0.1%
10 22
 
< 0.1%
7 15
 
< 0.1%
8 14
 
< 0.1%
Other values (39) 108
 
< 0.1%
ValueCountFrequency (%)
0 444187
99.9%
1 165
 
< 0.1%
2 88
 
< 0.1%
3 55
 
< 0.1%
4 63
 
< 0.1%
ValueCountFrequency (%)
139 1
< 0.1%
95 1
< 0.1%
82 1
< 0.1%
70 1
< 0.1%
68 1
< 0.1%

QT_MAT_RESERVA_VAGA
Real number (ℝ)

SKEWED  ZEROS 

Distinct419
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.396222003
Minimum0
Maximum3140
Zeros435053
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:47.919163image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3140
Range3140
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.76629102
Coefficient of variation (CV)11.29210898
Kurtosis4337.736631
Mean1.396222003
Median Absolute Deviation (MAD)0
Skewness37.56371792
Sum621020
Variance248.5759327
MonotonicityNot monotonic
2024-07-28T21:09:48.021391image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 435053
97.8%
1 450
 
0.1%
2 295
 
0.1%
3 256
 
0.1%
5 221
 
< 0.1%
4 208
 
< 0.1%
6 185
 
< 0.1%
9 164
 
< 0.1%
8 160
 
< 0.1%
7 151
 
< 0.1%
Other values (409) 7643
 
1.7%
ValueCountFrequency (%)
0 435053
97.8%
1 450
 
0.1%
2 295
 
0.1%
3 256
 
0.1%
4 208
 
< 0.1%
ValueCountFrequency (%)
3140 1
< 0.1%
1392 1
< 0.1%
1265 1
< 0.1%
1173 1
< 0.1%
1164 1
< 0.1%

QT_MAT_RVREDEPUBLICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct414
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.220112593
Minimum0
Maximum3021
Zeros435745
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:48.119023image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3021
Range3021
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.63524085
Coefficient of variation (CV)11.99499204
Kurtosis5039.222851
Mean1.220112593
Median Absolute Deviation (MAD)0
Skewness41.29637259
Sum542689
Variance214.1902747
MonotonicityNot monotonic
2024-07-28T21:09:48.209846image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 435745
98.0%
1 377
 
0.1%
2 280
 
0.1%
3 250
 
0.1%
5 215
 
< 0.1%
4 208
 
< 0.1%
6 192
 
< 0.1%
9 173
 
< 0.1%
7 154
 
< 0.1%
8 153
 
< 0.1%
Other values (404) 7039
 
1.6%
ValueCountFrequency (%)
0 435745
98.0%
1 377
 
0.1%
2 280
 
0.1%
3 250
 
0.1%
4 208
 
< 0.1%
ValueCountFrequency (%)
3021 1
< 0.1%
1392 1
< 0.1%
1203 1
< 0.1%
1164 1
< 0.1%
1143 1
< 0.1%

QT_MAT_RVETNICO
Real number (ℝ)

SKEWED  ZEROS 

Distinct270
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.686294083
Minimum0
Maximum1069
Zeros436185
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:48.326466image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1069
Range1069
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.229825444
Coefficient of variation (CV)11.99168935
Kurtosis1538.842368
Mean0.686294083
Median Absolute Deviation (MAD)0
Skewness27.27416286
Sum305254
Variance67.73002684
MonotonicityNot monotonic
2024-07-28T21:09:48.419106image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 436185
98.1%
1 560
 
0.1%
2 446
 
0.1%
3 343
 
0.1%
4 302
 
0.1%
5 293
 
0.1%
6 265
 
0.1%
7 219
 
< 0.1%
8 219
 
< 0.1%
9 208
 
< 0.1%
Other values (260) 5746
 
1.3%
ValueCountFrequency (%)
0 436185
98.1%
1 560
 
0.1%
2 446
 
0.1%
3 343
 
0.1%
4 302
 
0.1%
ValueCountFrequency (%)
1069 1
< 0.1%
747 1
< 0.1%
708 1
< 0.1%
645 1
< 0.1%
455 2
< 0.1%

QT_MAT_RVPDEF
Real number (ℝ)

SKEWED  ZEROS 

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0224445014
Minimum0
Maximum121
Zeros441670
Zeros (%)99.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:48.517857image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum121
Range121
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5076545425
Coefficient of variation (CV)22.6182143
Kurtosis11546.50759
Mean0.0224445014
Median Absolute Deviation (MAD)0
Skewness78.30907238
Sum9983
Variance0.2577131345
MonotonicityNot monotonic
2024-07-28T21:09:48.613615image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 441670
99.3%
1 1369
 
0.3%
2 673
 
0.2%
3 348
 
0.1%
4 195
 
< 0.1%
5 139
 
< 0.1%
6 84
 
< 0.1%
7 60
 
< 0.1%
9 38
 
< 0.1%
8 37
 
< 0.1%
Other values (34) 173
 
< 0.1%
ValueCountFrequency (%)
0 441670
99.3%
1 1369
 
0.3%
2 673
 
0.2%
3 348
 
0.1%
4 195
 
< 0.1%
ValueCountFrequency (%)
121 1
< 0.1%
77 1
< 0.1%
65 1
< 0.1%
59 2
< 0.1%
51 1
< 0.1%

QT_MAT_RVSOCIAL_RF
Real number (ℝ)

SKEWED  ZEROS 

Distinct236
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.555462627
Minimum0
Maximum1531
Zeros437304
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:48.710945image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1531
Range1531
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.288577768
Coefficient of variation (CV)13.12163486
Kurtosis5955.013198
Mean0.555462627
Median Absolute Deviation (MAD)0
Skewness46.86647298
Sum247062
Variance53.12336588
MonotonicityNot monotonic
2024-07-28T21:09:48.810384image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 437304
98.3%
1 467
 
0.1%
2 336
 
0.1%
3 291
 
0.1%
4 262
 
0.1%
5 219
 
< 0.1%
6 218
 
< 0.1%
7 216
 
< 0.1%
8 173
 
< 0.1%
14 145
 
< 0.1%
Other values (226) 5155
 
1.2%
ValueCountFrequency (%)
0 437304
98.3%
1 467
 
0.1%
2 336
 
0.1%
3 291
 
0.1%
4 262
 
0.1%
ValueCountFrequency (%)
1531 1
< 0.1%
932 1
< 0.1%
704 1
< 0.1%
628 1
< 0.1%
591 1
< 0.1%

QT_MAT_RVOUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct102
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03877145414
Minimum0
Maximum463
Zeros443544
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:48.908857image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum463
Range463
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.815878362
Coefficient of variation (CV)46.8354464
Kurtosis20226.79836
Mean0.03877145414
Median Absolute Deviation (MAD)0
Skewness117.2177633
Sum17245
Variance3.297414225
MonotonicityNot monotonic
2024-07-28T21:09:49.011207image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 443544
99.7%
1 312
 
0.1%
2 157
 
< 0.1%
3 101
 
< 0.1%
4 97
 
< 0.1%
5 69
 
< 0.1%
7 50
 
< 0.1%
6 45
 
< 0.1%
8 35
 
< 0.1%
12 24
 
< 0.1%
Other values (92) 352
 
0.1%
ValueCountFrequency (%)
0 443544
99.7%
1 312
 
0.1%
2 157
 
< 0.1%
3 101
 
< 0.1%
4 97
 
< 0.1%
ValueCountFrequency (%)
463 1
< 0.1%
364 1
< 0.1%
328 1
< 0.1%
260 1
< 0.1%
246 1
< 0.1%

QT_CONC_RESERVA_VAGA
Real number (ℝ)

SKEWED  ZEROS 

Distinct82
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1228680759
Minimum0
Maximum284
Zeros438233
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:49.103293image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum284
Range284
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.633068832
Coefficient of variation (CV)13.29123795
Kurtosis3413.973038
Mean0.1228680759
Median Absolute Deviation (MAD)0
Skewness37.54289416
Sum54650
Variance2.666913812
MonotonicityNot monotonic
2024-07-28T21:09:49.196442image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 438233
98.5%
1 987
 
0.2%
2 745
 
0.2%
3 673
 
0.2%
4 543
 
0.1%
5 479
 
0.1%
6 403
 
0.1%
7 355
 
0.1%
8 284
 
0.1%
9 250
 
0.1%
Other values (72) 1834
 
0.4%
ValueCountFrequency (%)
0 438233
98.5%
1 987
 
0.2%
2 745
 
0.2%
3 673
 
0.2%
4 543
 
0.1%
ValueCountFrequency (%)
284 1
< 0.1%
194 1
< 0.1%
138 1
< 0.1%
136 1
< 0.1%
129 1
< 0.1%

QT_CONC_RVREDEPUBLICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct79
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1068851088
Minimum0
Maximum279
Zeros438742
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:49.283201image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum279
Range279
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.510657438
Coefficient of variation (CV)14.13346962
Kurtosis4318.761304
Mean0.1068851088
Median Absolute Deviation (MAD)0
Skewness42.54427122
Sum47541
Variance2.282085896
MonotonicityNot monotonic
2024-07-28T21:09:49.378145image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 438742
98.6%
1 933
 
0.2%
2 752
 
0.2%
3 674
 
0.2%
4 538
 
0.1%
5 460
 
0.1%
6 367
 
0.1%
7 309
 
0.1%
8 239
 
0.1%
9 217
 
< 0.1%
Other values (69) 1555
 
0.3%
ValueCountFrequency (%)
0 438742
98.6%
1 933
 
0.2%
2 752
 
0.2%
3 674
 
0.2%
4 538
 
0.1%
ValueCountFrequency (%)
279 1
< 0.1%
194 1
< 0.1%
135 1
< 0.1%
134 1
< 0.1%
129 1
< 0.1%

QT_CONC_RVETNICO
Real number (ℝ)

SKEWED  ZEROS 

Distinct54
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05762996137
Minimum0
Maximum90
Zeros439628
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:49.488431image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum90
Range90
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.83390685
Coefficient of variation (CV)14.47002271
Kurtosis1550.121834
Mean0.05762996137
Median Absolute Deviation (MAD)0
Skewness30.18897096
Sum25633
Variance0.6954006345
MonotonicityNot monotonic
2024-07-28T21:09:49.580356image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 439628
98.8%
1 1301
 
0.3%
2 927
 
0.2%
3 637
 
0.1%
4 472
 
0.1%
5 375
 
0.1%
6 271
 
0.1%
7 220
 
< 0.1%
8 179
 
< 0.1%
9 139
 
< 0.1%
Other values (44) 637
 
0.1%
ValueCountFrequency (%)
0 439628
98.8%
1 1301
 
0.3%
2 927
 
0.2%
3 637
 
0.1%
4 472
 
0.1%
ValueCountFrequency (%)
90 1
< 0.1%
84 1
< 0.1%
73 1
< 0.1%
71 1
< 0.1%
59 1
< 0.1%

QT_CONC_RVPDEF
Real number (ℝ)

SKEWED  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006902195663
Minimum0
Maximum8
Zeros444545
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:49.661087image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0346749467
Coefficient of variation (CV)50.23755975
Kurtosis11310.78975
Mean0.0006902195663
Median Absolute Deviation (MAD)0
Skewness83.79640391
Sum307
Variance0.001202351929
MonotonicityNot monotonic
2024-07-28T21:09:49.737015image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 444545
99.9%
1 199
 
< 0.1%
2 30
 
< 0.1%
3 6
 
< 0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 444545
99.9%
1 199
 
< 0.1%
2 30
 
< 0.1%
3 6
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
5 2
 
< 0.1%
4 3
 
< 0.1%
3 6
 
< 0.1%
2 30
< 0.1%

QT_CONC_RVSOCIAL_RF
Real number (ℝ)

SKEWED  ZEROS 

Distinct50
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04956316071
Minimum0
Maximum122
Zeros440131
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:49.825242image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum122
Range122
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7523328081
Coefficient of variation (CV)15.17927423
Kurtosis3192.670648
Mean0.04956316071
Median Absolute Deviation (MAD)0
Skewness38.66161782
Sum22045
Variance0.5660046542
MonotonicityNot monotonic
2024-07-28T21:09:49.928141image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 440131
99.0%
1 1123
 
0.3%
2 862
 
0.2%
3 648
 
0.1%
4 437
 
0.1%
5 328
 
0.1%
6 257
 
0.1%
7 209
 
< 0.1%
8 136
 
< 0.1%
9 105
 
< 0.1%
Other values (40) 550
 
0.1%
ValueCountFrequency (%)
0 440131
99.0%
1 1123
 
0.3%
2 862
 
0.2%
3 648
 
0.1%
4 437
 
0.1%
ValueCountFrequency (%)
122 1
< 0.1%
86 1
< 0.1%
84 1
< 0.1%
64 1
< 0.1%
62 1
< 0.1%

QT_CONC_RVOUTROS
Real number (ℝ)

SKEWED  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003864779917
Minimum0
Maximum73
Zeros444410
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:50.012337image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum73
Range73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2458342817
Coefficient of variation (CV)63.60886959
Kurtosis29487.09297
Mean0.003864779917
Median Absolute Deviation (MAD)0
Skewness140.265983
Sum1719
Variance0.06043449407
MonotonicityNot monotonic
2024-07-28T21:09:50.100137image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 444410
99.9%
1 155
 
< 0.1%
2 57
 
< 0.1%
3 37
 
< 0.1%
4 30
 
< 0.1%
5 18
 
< 0.1%
7 14
 
< 0.1%
8 10
 
< 0.1%
6 8
 
< 0.1%
14 5
 
< 0.1%
Other values (19) 42
 
< 0.1%
ValueCountFrequency (%)
0 444410
99.9%
1 155
 
< 0.1%
2 57
 
< 0.1%
3 37
 
< 0.1%
4 30
 
< 0.1%
ValueCountFrequency (%)
73 1
< 0.1%
59 1
< 0.1%
30 2
< 0.1%
29 1
< 0.1%
28 2
< 0.1%

QT_SIT_TRANCADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct555
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.981791243
Minimum0
Maximum3224
Zeros277665
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:50.190253image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile16
Maximum3224
Range3224
Interquartile range (IQR)1

Descriptive statistics

Standard deviation23.82038155
Coefficient of variation (CV)5.982328076
Kurtosis2160.041039
Mean3.981791243
Median Absolute Deviation (MAD)0
Skewness32.48054349
Sum1771045
Variance567.4105771
MonotonicityNot monotonic
2024-07-28T21:09:50.285612image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 277665
62.4%
1 63281
 
14.2%
2 25261
 
5.7%
3 14194
 
3.2%
4 9339
 
2.1%
5 6623
 
1.5%
6 5103
 
1.1%
7 4112
 
0.9%
8 3289
 
0.7%
9 2751
 
0.6%
Other values (545) 33168
 
7.5%
ValueCountFrequency (%)
0 277665
62.4%
1 63281
 
14.2%
2 25261
 
5.7%
3 14194
 
3.2%
4 9339
 
2.1%
ValueCountFrequency (%)
3224 1
< 0.1%
2200 1
< 0.1%
2146 1
< 0.1%
2075 1
< 0.1%
1891 1
< 0.1%

QT_SIT_DESVINCULADO
Real number (ℝ)

SKEWED  ZEROS 

Distinct562
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.273295472
Minimum0
Maximum2144
Zeros197442
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:50.379913image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile23
Maximum2144
Range2144
Interquartile range (IQR)3

Descriptive statistics

Standard deviation23.86705042
Coefficient of variation (CV)4.526021828
Kurtosis1122.34002
Mean5.273295472
Median Absolute Deviation (MAD)1
Skewness23.74115397
Sum2345488
Variance569.6360955
MonotonicityNot monotonic
2024-07-28T21:09:50.474838image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 197442
44.4%
1 95489
21.5%
2 39063
 
8.8%
3 21382
 
4.8%
4 13784
 
3.1%
5 9405
 
2.1%
6 7188
 
1.6%
7 5688
 
1.3%
8 4514
 
1.0%
9 3833
 
0.9%
Other values (552) 46998
 
10.6%
ValueCountFrequency (%)
0 197442
44.4%
1 95489
21.5%
2 39063
 
8.8%
3 21382
 
4.8%
4 13784
 
3.1%
ValueCountFrequency (%)
2144 1
< 0.1%
2016 1
< 0.1%
1930 1
< 0.1%
1885 1
< 0.1%
1633 1
< 0.1%

QT_SIT_TRANSFERIDO
Real number (ℝ)

SKEWED  ZEROS 

Distinct146
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2243011246
Minimum0
Maximum1012
Zeros413180
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:50.573221image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1012
Range1012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.565067395
Coefficient of variation (CV)15.89411289
Kurtosis25885.22332
Mean0.2243011246
Median Absolute Deviation (MAD)0
Skewness122.5309807
Sum99766
Variance12.70970553
MonotonicityNot monotonic
2024-07-28T21:09:50.667680image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413180
92.9%
1 20002
 
4.5%
2 4777
 
1.1%
3 2087
 
0.5%
4 1178
 
0.3%
5 734
 
0.2%
6 522
 
0.1%
7 341
 
0.1%
8 303
 
0.1%
9 205
 
< 0.1%
Other values (136) 1457
 
0.3%
ValueCountFrequency (%)
0 413180
92.9%
1 20002
 
4.5%
2 4777
 
1.1%
3 2087
 
0.5%
4 1178
 
0.3%
ValueCountFrequency (%)
1012 1
< 0.1%
870 1
< 0.1%
449 1
< 0.1%
433 1
< 0.1%
418 1
< 0.1%

QT_SIT_FALECIDO
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003835552378
Minimum0
Maximum16
Zeros443271
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:50.744231image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0777601697
Coefficient of variation (CV)20.2735257
Kurtosis6594.351279
Mean0.003835552378
Median Absolute Deviation (MAD)0
Skewness52.93807929
Sum1706
Variance0.006046643991
MonotonicityNot monotonic
2024-07-28T21:09:50.821375image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 443271
99.7%
1 1410
 
0.3%
2 78
 
< 0.1%
3 11
 
< 0.1%
4 5
 
< 0.1%
6 4
 
< 0.1%
5 2
 
< 0.1%
10 2
 
< 0.1%
16 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 443271
99.7%
1 1410
 
0.3%
2 78
 
< 0.1%
3 11
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
10 2
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
6 4
< 0.1%

QT_ING_PROCESCPUBLICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct587
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.88839352
Minimum0
Maximum3166
Zeros126721
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:50.911490image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile31
Maximum3166
Range3166
Interquartile range (IQR)4

Descriptive statistics

Standard deviation27.17062281
Coefficient of variation (CV)3.944406302
Kurtosis1948.307444
Mean6.88839352
Median Absolute Deviation (MAD)1
Skewness29.18256809
Sum3063861
Variance738.2427437
MonotonicityNot monotonic
2024-07-28T21:09:51.011788image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 126721
28.5%
1 114247
25.7%
2 50882
11.4%
3 29267
 
6.6%
4 18573
 
4.2%
5 13182
 
3.0%
6 9968
 
2.2%
7 7699
 
1.7%
8 6245
 
1.4%
9 5221
 
1.2%
Other values (577) 62781
14.1%
ValueCountFrequency (%)
0 126721
28.5%
1 114247
25.7%
2 50882
11.4%
3 29267
 
6.6%
4 18573
 
4.2%
ValueCountFrequency (%)
3166 1
< 0.1%
2931 1
< 0.1%
2906 1
< 0.1%
2610 1
< 0.1%
2329 1
< 0.1%

QT_ING_PROCESCPRIVADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct342
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.980772776
Minimum0
Maximum1695
Zeros307298
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:51.112072image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum1695
Range1695
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.88605399
Coefficient of variation (CV)6.000715548
Kurtosis2755.788679
Mean1.980772776
Median Absolute Deviation (MAD)0
Skewness34.21041154
Sum881020
Variance141.2782795
MonotonicityNot monotonic
2024-07-28T21:09:51.226264image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 307298
69.1%
1 66520
 
15.0%
2 21292
 
4.8%
3 10724
 
2.4%
4 6416
 
1.4%
5 4373
 
1.0%
6 3257
 
0.7%
7 2526
 
0.6%
8 2073
 
0.5%
9 1791
 
0.4%
Other values (332) 18516
 
4.2%
ValueCountFrequency (%)
0 307298
69.1%
1 66520
 
15.0%
2 21292
 
4.8%
3 10724
 
2.4%
4 6416
 
1.4%
ValueCountFrequency (%)
1695 1
< 0.1%
1644 1
< 0.1%
1005 1
< 0.1%
954 1
< 0.1%
939 1
< 0.1%

QT_ING_PROCNAOINFORMADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0004721371626
Minimum0
Maximum18
Zeros444651
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:51.305505image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04674508081
Coefficient of variation (CV)99.00741674
Kurtosis92401.52419
Mean0.0004721371626
Median Absolute Deviation (MAD)0
Skewness266.6135931
Sum210
Variance0.00218510258
MonotonicityNot monotonic
2024-07-28T21:09:51.377390image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 444651
> 99.9%
1 112
 
< 0.1%
2 13
 
< 0.1%
3 3
 
< 0.1%
6 2
 
< 0.1%
4 2
 
< 0.1%
17 1
 
< 0.1%
8 1
 
< 0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
0 444651
> 99.9%
1 112
 
< 0.1%
2 13
 
< 0.1%
3 3
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
18 1
< 0.1%
17 1
< 0.1%
8 1
< 0.1%
6 2
< 0.1%
4 2
< 0.1%

QT_MAT_PROCESCPUBLICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct972
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.56596206
Minimum0
Maximum6401
Zeros103594
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:51.470436image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile73
Maximum6401
Range6401
Interquartile range (IQR)5

Descriptive statistics

Standard deviation57.92878488
Coefficient of variation (CV)3.976996826
Kurtosis1076.771702
Mean14.56596206
Median Absolute Deviation (MAD)2
Skewness20.56188005
Sum6478736
Variance3355.744117
MonotonicityNot monotonic
2024-07-28T21:09:51.571444image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 109671
24.7%
0 103594
23.3%
2 50081
11.3%
3 29237
 
6.6%
4 19754
 
4.4%
5 14215
 
3.2%
6 10722
 
2.4%
7 8710
 
2.0%
8 6866
 
1.5%
9 5717
 
1.3%
Other values (962) 86219
19.4%
ValueCountFrequency (%)
0 103594
23.3%
1 109671
24.7%
2 50081
11.3%
3 29237
 
6.6%
4 19754
 
4.4%
ValueCountFrequency (%)
6401 1
< 0.1%
4891 1
< 0.1%
4667 1
< 0.1%
4186 1
< 0.1%
4087 1
< 0.1%

QT_MAT_PROCESCPRIVADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct792
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.622049705
Minimum0
Maximum4524
Zeros280150
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:51.670195image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile18
Maximum4524
Range4524
Interquartile range (IQR)1

Descriptive statistics

Standard deviation38.86466007
Coefficient of variation (CV)6.912898696
Kurtosis1713.065366
Mean5.622049705
Median Absolute Deviation (MAD)0
Skewness29.20725599
Sum2500609
Variance1510.461803
MonotonicityNot monotonic
2024-07-28T21:09:51.761186image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 280150
63.0%
1 70294
 
15.8%
2 24198
 
5.4%
3 12424
 
2.8%
4 7621
 
1.7%
5 5425
 
1.2%
6 3960
 
0.9%
7 3236
 
0.7%
8 2630
 
0.6%
9 2131
 
0.5%
Other values (782) 32717
 
7.4%
ValueCountFrequency (%)
0 280150
63.0%
1 70294
 
15.8%
2 24198
 
5.4%
3 12424
 
2.8%
4 7621
 
1.7%
ValueCountFrequency (%)
4524 1
< 0.1%
3839 1
< 0.1%
3797 1
< 0.1%
3175 1
< 0.1%
3021 1
< 0.1%

QT_MAT_PROCNAOINFORMADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01748031638
Minimum0
Maximum93
Zeros442521
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:51.856219image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5080046344
Coefficient of variation (CV)29.06152403
Kurtosis8946.917422
Mean0.01748031638
Median Absolute Deviation (MAD)0
Skewness76.1961189
Sum7775
Variance0.2580687086
MonotonicityNot monotonic
2024-07-28T21:09:51.951660image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 442521
99.5%
1 1231
 
0.3%
2 398
 
0.1%
3 157
 
< 0.1%
4 95
 
< 0.1%
6 56
 
< 0.1%
5 54
 
< 0.1%
9 31
 
< 0.1%
7 28
 
< 0.1%
8 27
 
< 0.1%
Other values (35) 188
 
< 0.1%
ValueCountFrequency (%)
0 442521
99.5%
1 1231
 
0.3%
2 398
 
0.1%
3 157
 
< 0.1%
4 95
 
< 0.1%
ValueCountFrequency (%)
93 1
< 0.1%
83 1
< 0.1%
76 1
< 0.1%
72 1
< 0.1%
61 2
< 0.1%

QT_CONC_PROCESCPUBLICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct315
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.138475582
Minimum0
Maximum1872
Zeros339881
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:52.045380image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum1872
Range1872
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.31914193
Coefficient of variation (CV)5.293089165
Kurtosis2810.89946
Mean2.138475582
Median Absolute Deviation (MAD)0
Skewness31.30688958
Sum951164
Variance128.122974
MonotonicityNot monotonic
2024-07-28T21:09:52.139672image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 339881
76.4%
1 37679
 
8.5%
2 14996
 
3.4%
3 8300
 
1.9%
4 5450
 
1.2%
5 4046
 
0.9%
6 3199
 
0.7%
7 2694
 
0.6%
8 2188
 
0.5%
9 1987
 
0.4%
Other values (305) 24366
 
5.5%
ValueCountFrequency (%)
0 339881
76.4%
1 37679
 
8.5%
2 14996
 
3.4%
3 8300
 
1.9%
4 5450
 
1.2%
ValueCountFrequency (%)
1872 1
< 0.1%
1179 1
< 0.1%
1073 1
< 0.1%
1018 1
< 0.1%
930 1
< 0.1%

QT_CONC_PROCESCPRIVADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct235
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8425917183
Minimum0
Maximum643
Zeros392178
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:52.240203image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum643
Range643
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.604854795
Coefficient of variation (CV)7.838736902
Kurtosis1536.167766
Mean0.8425917183
Median Absolute Deviation (MAD)0
Skewness29.0410544
Sum374773
Variance43.62410687
MonotonicityNot monotonic
2024-07-28T21:09:52.340251image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 392178
88.2%
1 22214
 
5.0%
2 7453
 
1.7%
3 4088
 
0.9%
4 2801
 
0.6%
5 2014
 
0.5%
6 1610
 
0.4%
7 1348
 
0.3%
8 1079
 
0.2%
9 918
 
0.2%
Other values (225) 9083
 
2.0%
ValueCountFrequency (%)
0 392178
88.2%
1 22214
 
5.0%
2 7453
 
1.7%
3 4088
 
0.9%
4 2801
 
0.6%
ValueCountFrequency (%)
643 1
< 0.1%
557 1
< 0.1%
552 1
< 0.1%
520 1
< 0.1%
517 1
< 0.1%

QT_CONC_PROCNAOINFORMADA
Real number (ℝ)

SKEWED  ZEROS 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003120601818
Minimum0
Maximum12
Zeros443942
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:52.437103image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09506486999
Coefficient of variation (CV)30.46363348
Kurtosis4393.533051
Mean0.003120601818
Median Absolute Deviation (MAD)0
Skewness55.50595566
Sum1388
Variance0.009037329507
MonotonicityNot monotonic
2024-07-28T21:09:52.796848image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 443942
99.8%
1 595
 
0.1%
2 127
 
< 0.1%
3 63
 
< 0.1%
4 21
 
< 0.1%
5 12
 
< 0.1%
6 8
 
< 0.1%
9 5
 
< 0.1%
8 5
 
< 0.1%
7 4
 
< 0.1%
Other values (3) 4
 
< 0.1%
ValueCountFrequency (%)
0 443942
99.8%
1 595
 
0.1%
2 127
 
< 0.1%
3 63
 
< 0.1%
4 21
 
< 0.1%
ValueCountFrequency (%)
12 2
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 5
< 0.1%
8 5
< 0.1%

QT_PARFOR
Real number (ℝ)

SKEWED  ZEROS 

Distinct96
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02218819837
Minimum0
Maximum460
Zeros444426
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:52.885051image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum460
Range460
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.646503195
Coefficient of variation (CV)74.20625902
Kurtosis23004.71979
Mean0.02218819837
Median Absolute Deviation (MAD)0
Skewness129.2679961
Sum9869
Variance2.710972773
MonotonicityNot monotonic
2024-07-28T21:09:52.975032image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 444426
99.9%
1 120
 
< 0.1%
2 33
 
< 0.1%
3 17
 
< 0.1%
4 11
 
< 0.1%
5 10
 
< 0.1%
10 7
 
< 0.1%
24 7
 
< 0.1%
50 6
 
< 0.1%
19 5
 
< 0.1%
Other values (86) 144
 
< 0.1%
ValueCountFrequency (%)
0 444426
99.9%
1 120
 
< 0.1%
2 33
 
< 0.1%
3 17
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
460 1
< 0.1%
260 1
< 0.1%
251 1
< 0.1%
239 1
< 0.1%
233 1
< 0.1%

QT_ING_PARFOR
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001097156835
Minimum0
Maximum146
Zeros444775
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:53.067435image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum146
Range146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3527937432
Coefficient of variation (CV)321.5527005
Kurtosis143924.8352
Mean0.001097156835
Median Absolute Deviation (MAD)0
Skewness374.6672592
Sum488
Variance0.1244634252
MonotonicityNot monotonic
2024-07-28T21:09:53.147567image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 444775
> 99.9%
22 2
 
< 0.1%
1 1
 
< 0.1%
6 1
 
< 0.1%
2 1
 
< 0.1%
10 1
 
< 0.1%
17 1
 
< 0.1%
121 1
 
< 0.1%
7 1
 
< 0.1%
146 1
 
< 0.1%
ValueCountFrequency (%)
0 444775
> 99.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
146 1
< 0.1%
134 1
< 0.1%
121 1
< 0.1%
22 2
< 0.1%
17 1
< 0.1%

QT_MAT_PARFOR
Real number (ℝ)

SKEWED  ZEROS 

Distinct74
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01677660718
Minimum0
Maximum460
Zeros444512
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:53.240760image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum460
Range460
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433282151
Coefficient of variation (CV)85.43337372
Kurtosis34882.09456
Mean0.01677660718
Median Absolute Deviation (MAD)0
Skewness157.9827089
Sum7462
Variance2.054297724
MonotonicityNot monotonic
2024-07-28T21:09:53.335571image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 444512
99.9%
1 89
 
< 0.1%
2 25
 
< 0.1%
3 16
 
< 0.1%
4 7
 
< 0.1%
50 6
 
< 0.1%
33 6
 
< 0.1%
10 5
 
< 0.1%
24 5
 
< 0.1%
36 5
 
< 0.1%
Other values (64) 110
 
< 0.1%
ValueCountFrequency (%)
0 444512
99.9%
1 89
 
< 0.1%
2 25
 
< 0.1%
3 16
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
460 1
< 0.1%
255 1
< 0.1%
239 1
< 0.1%
236 1
< 0.1%
210 1
< 0.1%

QT_CONC_PARFOR
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002603499211
Minimum0
Maximum119
Zeros444672
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:53.427657image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum119
Range119
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.351656026
Coefficient of variation (CV)135.070533
Kurtosis59273.43935
Mean0.002603499211
Median Absolute Deviation (MAD)0
Skewness220.2953497
Sum1158
Variance0.1236619606
MonotonicityNot monotonic
2024-07-28T21:09:53.519246image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 444672
> 99.9%
1 50
 
< 0.1%
2 22
 
< 0.1%
3 5
 
< 0.1%
12 4
 
< 0.1%
4 3
 
< 0.1%
24 2
 
< 0.1%
9 2
 
< 0.1%
31 2
 
< 0.1%
13 1
 
< 0.1%
Other values (23) 23
 
< 0.1%
ValueCountFrequency (%)
0 444672
> 99.9%
1 50
 
< 0.1%
2 22
 
< 0.1%
3 5
 
< 0.1%
4 3
 
< 0.1%
ValueCountFrequency (%)
119 1
< 0.1%
100 1
< 0.1%
91 1
< 0.1%
59 1
< 0.1%
45 1
< 0.1%

QT_APOIO_SOCIAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct522
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.053904574
Minimum0
Maximum3265
Zeros392543
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:53.614693image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum3265
Range3265
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.82345378
Coefficient of variation (CV)10.13847188
Kurtosis3363.073261
Mean2.053904574
Median Absolute Deviation (MAD)0
Skewness43.45316206
Sum913548
Variance433.6162271
MonotonicityNot monotonic
2024-07-28T21:09:53.730997image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 392543
88.3%
1 12585
 
2.8%
2 6922
 
1.6%
3 4345
 
1.0%
4 3350
 
0.8%
5 2504
 
0.6%
6 1909
 
0.4%
7 1591
 
0.4%
8 1290
 
0.3%
9 1135
 
0.3%
Other values (512) 16612
 
3.7%
ValueCountFrequency (%)
0 392543
88.3%
1 12585
 
2.8%
2 6922
 
1.6%
3 4345
 
1.0%
4 3350
 
0.8%
ValueCountFrequency (%)
3265 1
< 0.1%
1998 1
< 0.1%
1944 1
< 0.1%
1813 1
< 0.1%
1759 1
< 0.1%

QT_ING_APOIO_SOCIAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct202
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5166327178
Minimum0
Maximum889
Zeros411988
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:53.843446image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum889
Range889
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.033102972
Coefficient of variation (CV)9.742129754
Kurtosis3889.085121
Mean0.5166327178
Median Absolute Deviation (MAD)0
Skewness42.74943175
Sum229791
Variance25.33212552
MonotonicityNot monotonic
2024-07-28T21:09:53.946358image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 411988
92.6%
1 10692
 
2.4%
2 5587
 
1.3%
3 3375
 
0.8%
4 2388
 
0.5%
5 1654
 
0.4%
6 1273
 
0.3%
7 968
 
0.2%
8 769
 
0.2%
9 632
 
0.1%
Other values (192) 5460
 
1.2%
ValueCountFrequency (%)
0 411988
92.6%
1 10692
 
2.4%
2 5587
 
1.3%
3 3375
 
0.8%
4 2388
 
0.5%
ValueCountFrequency (%)
889 1
< 0.1%
526 1
< 0.1%
524 1
< 0.1%
400 1
< 0.1%
386 1
< 0.1%

QT_MAT_APOIO_SOCIAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct448
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.718489341
Minimum0
Maximum2828
Zeros396570
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:54.038005image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum2828
Range2828
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.19741305
Coefficient of variation (CV)10.00728526
Kurtosis3755.513876
Mean1.718489341
Median Absolute Deviation (MAD)0
Skewness44.7821851
Sum764360
Variance295.7510156
MonotonicityNot monotonic
2024-07-28T21:09:54.132360image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 396570
89.2%
1 12218
 
2.7%
2 6477
 
1.5%
3 4026
 
0.9%
4 3008
 
0.7%
5 2255
 
0.5%
6 1727
 
0.4%
7 1419
 
0.3%
8 1192
 
0.3%
9 1059
 
0.2%
Other values (438) 14835
 
3.3%
ValueCountFrequency (%)
0 396570
89.2%
1 12218
 
2.7%
2 6477
 
1.5%
3 4026
 
0.9%
4 3008
 
0.7%
ValueCountFrequency (%)
2828 1
< 0.1%
1780 1
< 0.1%
1656 1
< 0.1%
1638 1
< 0.1%
1585 1
< 0.1%

QT_CONC_APOIO_SOCIAL
Real number (ℝ)

SKEWED  ZEROS 

Distinct136
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2864591062
Minimum0
Maximum571
Zeros422830
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:54.228502image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum571
Range571
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.149026747
Coefficient of variation (CV)10.99293644
Kurtosis4885.565514
Mean0.2864591062
Median Absolute Deviation (MAD)0
Skewness46.99393908
Sum127413
Variance9.91636945
MonotonicityNot monotonic
2024-07-28T21:09:54.327100image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 422830
95.1%
1 8686
 
2.0%
2 3668
 
0.8%
3 2019
 
0.5%
4 1360
 
0.3%
5 956
 
0.2%
6 699
 
0.2%
7 556
 
0.1%
8 484
 
0.1%
9 341
 
0.1%
Other values (126) 3187
 
0.7%
ValueCountFrequency (%)
0 422830
95.1%
1 8686
 
2.0%
2 3668
 
0.8%
3 2019
 
0.5%
4 1360
 
0.3%
ValueCountFrequency (%)
571 1
< 0.1%
440 1
< 0.1%
394 1
< 0.1%
295 1
< 0.1%
265 1
< 0.1%

QT_ATIV_EXTRACURRICULAR
Real number (ℝ)

SKEWED  ZEROS 

Distinct713
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.586014398
Minimum0
Maximum3811
Zeros369704
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:54.427525image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum3811
Range3811
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.38339361
Coefficient of variation (CV)9.03046949
Kurtosis2132.828231
Mean3.586014398
Median Absolute Deviation (MAD)0
Skewness34.85968454
Sum1595009
Variance1048.684182
MonotonicityNot monotonic
2024-07-28T21:09:54.535721image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 369704
83.1%
1 21223
 
4.8%
2 9323
 
2.1%
3 5734
 
1.3%
4 4160
 
0.9%
5 3287
 
0.7%
6 2565
 
0.6%
7 2060
 
0.5%
8 1793
 
0.4%
9 1505
 
0.3%
Other values (703) 23432
 
5.3%
ValueCountFrequency (%)
0 369704
83.1%
1 21223
 
4.8%
2 9323
 
2.1%
3 5734
 
1.3%
4 4160
 
0.9%
ValueCountFrequency (%)
3811 1
< 0.1%
3342 1
< 0.1%
3091 1
< 0.1%
3060 1
< 0.1%
2795 1
< 0.1%

QT_ING_ATIV_EXTRACURRICULAR
Real number (ℝ)

SKEWED  ZEROS 

Distinct280
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8746700661
Minimum0
Maximum1033
Zeros394425
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:54.640549image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1033
Range1033
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.795238408
Coefficient of variation (CV)8.912204396
Kurtosis2628.423478
Mean0.8746700661
Median Absolute Deviation (MAD)0
Skewness37.83995462
Sum389041
Variance60.76574184
MonotonicityNot monotonic
2024-07-28T21:09:54.733435image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 394425
88.7%
1 18524
 
4.2%
2 7953
 
1.8%
3 4702
 
1.1%
4 3218
 
0.7%
5 2279
 
0.5%
6 1759
 
0.4%
7 1345
 
0.3%
8 1106
 
0.2%
9 843
 
0.2%
Other values (270) 8632
 
1.9%
ValueCountFrequency (%)
0 394425
88.7%
1 18524
 
4.2%
2 7953
 
1.8%
3 4702
 
1.1%
4 3218
 
0.7%
ValueCountFrequency (%)
1033 1
< 0.1%
905 1
< 0.1%
770 1
< 0.1%
730 1
< 0.1%
610 1
< 0.1%

QT_MAT_ATIV_EXTRACURRICULAR
Real number (ℝ)

SKEWED  ZEROS 

Distinct645
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.010764727
Minimum0
Maximum3032
Zeros375580
Zeros (%)84.4%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:54.826952image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum3032
Range3032
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.62439943
Coefficient of variation (CV)9.175210265
Kurtosis2090.006291
Mean3.010764727
Median Absolute Deviation (MAD)0
Skewness34.63707747
Sum1339146
Variance763.107444
MonotonicityNot monotonic
2024-07-28T21:09:54.927834image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 375580
84.4%
1 20584
 
4.6%
2 8804
 
2.0%
3 5478
 
1.2%
4 3869
 
0.9%
5 2909
 
0.7%
6 2251
 
0.5%
7 1884
 
0.4%
8 1617
 
0.4%
9 1316
 
0.3%
Other values (635) 20494
 
4.6%
ValueCountFrequency (%)
0 375580
84.4%
1 20584
 
4.6%
2 8804
 
2.0%
3 5478
 
1.2%
4 3869
 
0.9%
ValueCountFrequency (%)
3032 1
< 0.1%
3017 1
< 0.1%
2536 1
< 0.1%
2410 1
< 0.1%
2359 1
< 0.1%

QT_CONC_ATIV_EXTRACURRICULAR
Real number (ℝ)

SKEWED  ZEROS 

Distinct245
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5685812953
Minimum0
Maximum1627
Zeros415050
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:55.027916image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1627
Range1627
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.087439171
Coefficient of variation (CV)12.46512896
Kurtosis10228.70902
Mean0.5685812953
Median Absolute Deviation (MAD)0
Skewness69.08938227
Sum252897
Variance50.231794
MonotonicityNot monotonic
2024-07-28T21:09:55.126694image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 415050
93.3%
1 10838
 
2.4%
2 4566
 
1.0%
3 2629
 
0.6%
4 1779
 
0.4%
5 1343
 
0.3%
6 1039
 
0.2%
7 753
 
0.2%
8 614
 
0.1%
9 542
 
0.1%
Other values (235) 5633
 
1.3%
ValueCountFrequency (%)
0 415050
93.3%
1 10838
 
2.4%
2 4566
 
1.0%
3 2629
 
0.6%
4 1779
 
0.4%
ValueCountFrequency (%)
1627 1
< 0.1%
1202 1
< 0.1%
1006 1
< 0.1%
679 1
< 0.1%
559 1
< 0.1%

QT_MOB_ACADEMICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct56
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01766242643
Minimum0
Maximum581
Zeros443713
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:55.223203image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum581
Range581
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.791079617
Coefficient of variation (CV)101.406204
Kurtosis51269.01349
Mean0.01766242643
Median Absolute Deviation (MAD)0
Skewness206.1627261
Sum7856
Variance3.207966195
MonotonicityNot monotonic
2024-07-28T21:09:55.319064image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 443713
99.8%
1 583
 
0.1%
2 170
 
< 0.1%
3 89
 
< 0.1%
4 51
 
< 0.1%
5 50
 
< 0.1%
6 21
 
< 0.1%
7 11
 
< 0.1%
8 10
 
< 0.1%
11 10
 
< 0.1%
Other values (46) 78
 
< 0.1%
ValueCountFrequency (%)
0 443713
99.8%
1 583
 
0.1%
2 170
 
< 0.1%
3 89
 
< 0.1%
4 51
 
< 0.1%
ValueCountFrequency (%)
581 1
< 0.1%
501 1
< 0.1%
346 1
< 0.1%
343 1
< 0.1%
325 1
< 0.1%

QT_ING_MOB_ACADEMICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001958245089
Minimum0
Maximum130
Zeros444717
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:55.410319image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum130
Range130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3297894391
Coefficient of variation (CV)168.4107066
Kurtosis73862.07786
Mean0.001958245089
Median Absolute Deviation (MAD)0
Skewness245.8170817
Sum871
Variance0.1087610742
MonotonicityNot monotonic
2024-07-28T21:09:55.513698image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 444717
> 99.9%
1 40
 
< 0.1%
2 4
 
< 0.1%
15 3
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
64 1
 
< 0.1%
54 1
 
< 0.1%
69 1
 
< 0.1%
25 1
 
< 0.1%
Other values (14) 14
 
< 0.1%
ValueCountFrequency (%)
0 444717
> 99.9%
1 40
 
< 0.1%
2 4
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
130 1
< 0.1%
69 1
< 0.1%
67 1
< 0.1%
64 1
< 0.1%
63 1
< 0.1%

QT_MAT_MOB_ACADEMICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01469245885
Minimum0
Maximum510
Zeros443770
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:55.620723image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum510
Range510
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.423141351
Coefficient of variation (CV)96.8620274
Kurtosis59909.78423
Mean0.01469245885
Median Absolute Deviation (MAD)0
Skewness219.2511331
Sum6535
Variance2.025331306
MonotonicityNot monotonic
2024-07-28T21:09:55.719182image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 443770
99.8%
1 558
 
0.1%
2 153
 
< 0.1%
3 82
 
< 0.1%
4 51
 
< 0.1%
5 47
 
< 0.1%
6 19
 
< 0.1%
7 13
 
< 0.1%
8 11
 
< 0.1%
10 11
 
< 0.1%
Other values (43) 71
 
< 0.1%
ValueCountFrequency (%)
0 443770
99.8%
1 558
 
0.1%
2 153
 
< 0.1%
3 82
 
< 0.1%
4 51
 
< 0.1%
ValueCountFrequency (%)
510 1
< 0.1%
380 1
< 0.1%
281 1
< 0.1%
280 1
< 0.1%
218 1
< 0.1%

QT_CONC_MOB_ACADEMICA
Real number (ℝ)

SKEWED  ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002059417338
Minimum0
Maximum107
Zeros444521
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size3.4 MiB
2024-07-28T21:09:55.822485image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum107
Range107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2262499325
Coefficient of variation (CV)109.8611381
Kurtosis122823.8338
Mean0.002059417338
Median Absolute Deviation (MAD)0
Skewness300.7351657
Sum916
Variance0.05118903195
MonotonicityNot monotonic
2024-07-28T21:09:55.911155image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 444521
99.9%
1 175
 
< 0.1%
2 35
 
< 0.1%
3 12
 
< 0.1%
5 11
 
< 0.1%
14 4
 
< 0.1%
4 4
 
< 0.1%
8 3
 
< 0.1%
6 3
 
< 0.1%
18 3
 
< 0.1%
Other values (12) 15
 
< 0.1%
ValueCountFrequency (%)
0 444521
99.9%
1 175
 
< 0.1%
2 35
 
< 0.1%
3 12
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
107 1
< 0.1%
52 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%
28 1
< 0.1%